Emotion, in psychology and common use, refers to the complex reaction of an organism to significant objects or events, with subjective, behavioral, physiological elements.
Emotion (stylized as E•MO•TION) is the third studio album by Canadian singer Carly Rae Jepsen. It was released on June 24, 2015 in Japan and was released on August 21, 2015 in North America and worldwide through 604 Records, School Boy Records, and Interscope Records. Despite charting significantly lower than Kiss, Emotion was acclaimed by critics and fans.
Background
In December 2013, Jepsen told Idolator she had been working on her third studio album. She shared that the record would incorporate pop and folk music, and channeled Robyn, La Roux, Kimbra and Dragonette as influences for the studio sessions. It was confirmed that she was working with her past producers, Josh Ramsay, Ryan Stewart and Max Martin while meeting with new ones as Benny Blanco and Stargate. It was tentatively due for release in the first quarter of 2014 but was pushed back. Jepsen stated that she would not rush the album, instead taking her time to make sure it was of quality. Throughout the process of the album, it was revealed that 250 songs were composed. Jepsen announced the title of the album on April 11, 2015 and released the cover artwork on April 15, 2015. The track listing was revealed on June 2, 2015.
Maverick Sabre (born Michael Stafford; 12 July 1990) is an English-Irish singer, songwriter and rapper.
Career
Early history
Maverick Sabre was born in Hackney, London. At the age of four he moved to Ireland, where he grew up in New Ross, County Wexford, but later – following the suggestion of English Rapper/Singer Plan B – Sabre returned to London to pursue a musical career.
A symbol identifying a genetic lineage as a paragroup of a specified haplogroup
Star (game theory), the value given to the game where both players have only the option of moving to the zero game
In linguistics, a symbol that prefixes a word or phrase that, in historical linguistics, is a reconstructed form for which no actual examples have been found; and in linguistics of a modern language (see: synchronic linguistics), is judged ungrammatical
The symbol is used to refer a reader to a footnote
The symbol is used to refer a reader to an endnote
You know what? It's time to start feeling better about things. At the risk of being late to the party, Cinefix is happy to present our list of feel good movies. This Movie List is a painstakingly curated collection of all the different ways a movie can make you feel good about the world. From underdog stories to absurdist comedy, and heart-warming to heartbreak, these are the 10 Most Uplifting Movies of All Time.
The List:
Faith In Humanity - Won't You Be My Neighbor
Underdog Story - Remember the Titans
Silly - Monty Python and the Holy Grail
Joyful - Amelie
Nostalgic - My Neighbor Totoro
Fall-In-Love - Top Hat
Carefree - Dazed and Confused / Everybody Wants Some Double Feature
Peaceful - Cemetery of Splendour
Bittersweet - Life is Beautiful
Kill a lot of Time - Fanny and Alexander
published: 27 Apr 2020
chess king sacrifice
Credits to: Chessbase India
published: 01 Dec 2020
Disambiguation - Music Video
Knifes Music and Socials:
https://knif.es
Video Direction & Editing: Brian Diaz
social: https://www.instagram.com/briankeithdiaz
Disambiguation - from Knifes EP "Proof of Concept"
Words and Music by: Knifes
2020 Keystone Estates
#Knifes #ProofOfConcept #Disambiguation #MusicVideo #MTVExclusive
published: 21 Jan 2021
Top 5 Afterlife Movies
If you want to see the life after death or the world to come you should definitely watch our picks for the best Afterlife movies.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Afterlife Movie? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
5. Hereafter (2010): (00:11)
4. The Lovely Bones (2009): (02:25)
3. What Dreams May Come (1998): (04:48)
2. Ghost (1990): (06:17)
1. Beetlejuice (1988): (08:24)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by lin...
published: 25 Jun 2022
Constituency disambiguation with prosodic phrasing
It's not a "Christian music" bonfire, it's a Christian "music bonfire".
published: 04 Jan 2021
A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet
The ability to automatically process and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication. Since their introduction in the late 1990's, emoji have been widely used to enhance the sentiment, emotion, and sarcasm expressed in social media messages. They are equally popular across many social media sites including Facebook, Instagram, and Twitter. Processing emoji using traditional Natural Language Processing (NLP) techniques is a challenging task due to the pictorial nature of emoji and the fact that (the same) emoji may be used in different contexts and cultures to express different meanings. Their polysemous nature complicates tasks such as emoji similarity calculation and emoji sense disambiguation. Having access to mac...
published: 17 Jan 2019
Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning
Interspeech 2021: Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning. Yi Shi et al
published: 01 Sep 2021
20 Criminally Underrated Movies on HBO Max Right Now
For more recommendations visit:
https://www.darrenvandam.com/
________________________________________
I'm your host, Darren Van Dam!
Tired of looking for good movies to watch on Netflix, Amazon Prime or other streaming services? Every week I recommend a handful of the best movies on Netflix, Amazon, HBO etc. so my subscribers never run out of good movies to watch on streaming. Spending 10 minutes watching one of my videos could save you hours of searching, hours that you could otherwise spend watching good movies on streaming that you otherwise might not have ever watched or even known about.
Thanks for watching!
0:00 Introduction
0:31 WOMAN WALKS AHEAD 2017
2:27 CELLULAR 2004
3:19 THE PERFECT HOST 2010
4:39 THE TAILOR OF PANAMA 2001
5:56 HOT SUMMER NIGHTS 2017
7:23 EIGHT LEGGED FREAK...
published: 26 Oct 2022
Top 10 Disney TV Series of 2021
If you want to to know the greatest Disney TV Shows that came out 2021 you should definitely watch our picks for the best Disney TV Series of 2021. All Disney series in this ranking started in 2021.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Disney TV Series of 2021? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
TV Series in this Ranking:
10. Big Shot (2021– ): (00:23)
9. The Mighty Ducks: Game Changers (2021– ): (01:12)
8. The Falcon and the Winter Soldier (2021): (02:01)
7. Star Wars: Visions (2021– ): (02:48)
6. What If...? (2021– ): (03:37)
5. Star Wars: The Bad Batch (2021– ): (04:16)
4. Hawkeye (2021): (05:07)
3. The Book of Boba Fett (2021– ): (05:57)
2. WandaVisi...
published: 25 Mar 2022
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning...
You know what? It's time to start feeling better about things. At the risk of being late to the party, Cinefix is happy to present our list of feel good movies....
You know what? It's time to start feeling better about things. At the risk of being late to the party, Cinefix is happy to present our list of feel good movies. This Movie List is a painstakingly curated collection of all the different ways a movie can make you feel good about the world. From underdog stories to absurdist comedy, and heart-warming to heartbreak, these are the 10 Most Uplifting Movies of All Time.
The List:
Faith In Humanity - Won't You Be My Neighbor
Underdog Story - Remember the Titans
Silly - Monty Python and the Holy Grail
Joyful - Amelie
Nostalgic - My Neighbor Totoro
Fall-In-Love - Top Hat
Carefree - Dazed and Confused / Everybody Wants Some Double Feature
Peaceful - Cemetery of Splendour
Bittersweet - Life is Beautiful
Kill a lot of Time - Fanny and Alexander
You know what? It's time to start feeling better about things. At the risk of being late to the party, Cinefix is happy to present our list of feel good movies. This Movie List is a painstakingly curated collection of all the different ways a movie can make you feel good about the world. From underdog stories to absurdist comedy, and heart-warming to heartbreak, these are the 10 Most Uplifting Movies of All Time.
The List:
Faith In Humanity - Won't You Be My Neighbor
Underdog Story - Remember the Titans
Silly - Monty Python and the Holy Grail
Joyful - Amelie
Nostalgic - My Neighbor Totoro
Fall-In-Love - Top Hat
Carefree - Dazed and Confused / Everybody Wants Some Double Feature
Peaceful - Cemetery of Splendour
Bittersweet - Life is Beautiful
Kill a lot of Time - Fanny and Alexander
Knifes Music and Socials:
https://knif.es
Video Direction & Editing: Brian Diaz
social: https://www.instagram.com/briankeithdiaz
Disambiguation - from Knifes E...
Knifes Music and Socials:
https://knif.es
Video Direction & Editing: Brian Diaz
social: https://www.instagram.com/briankeithdiaz
Disambiguation - from Knifes EP "Proof of Concept"
Words and Music by: Knifes
2020 Keystone Estates
#Knifes #ProofOfConcept #Disambiguation #MusicVideo #MTVExclusive
Knifes Music and Socials:
https://knif.es
Video Direction & Editing: Brian Diaz
social: https://www.instagram.com/briankeithdiaz
Disambiguation - from Knifes EP "Proof of Concept"
Words and Music by: Knifes
2020 Keystone Estates
#Knifes #ProofOfConcept #Disambiguation #MusicVideo #MTVExclusive
If you want to see the life after death or the world to come you should definitely watch our picks for the best Afterlife movies.
Discover the best…
📹 YouTube ...
If you want to see the life after death or the world to come you should definitely watch our picks for the best Afterlife movies.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Afterlife Movie? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
5. Hereafter (2010): (00:11)
4. The Lovely Bones (2009): (02:25)
3. What Dreams May Come (1998): (04:48)
2. Ghost (1990): (06:17)
1. Beetlejuice (1988): (08:24)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
If you want to see the life after death or the world to come you should definitely watch our picks for the best Afterlife movies.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Afterlife Movie? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
5. Hereafter (2010): (00:11)
4. The Lovely Bones (2009): (02:25)
3. What Dreams May Come (1998): (04:48)
2. Ghost (1990): (06:17)
1. Beetlejuice (1988): (08:24)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
The ability to automatically process and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication....
The ability to automatically process and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication. Since their introduction in the late 1990's, emoji have been widely used to enhance the sentiment, emotion, and sarcasm expressed in social media messages. They are equally popular across many social media sites including Facebook, Instagram, and Twitter. Processing emoji using traditional Natural Language Processing (NLP) techniques is a challenging task due to the pictorial nature of emoji and the fact that (the same) emoji may be used in different contexts and cultures to express different meanings. Their polysemous nature complicates tasks such as emoji similarity calculation and emoji sense disambiguation. Having access to machine-readable sense repositories that are specifically designed to capture emoji meaning can play a vital role in representing, contextually disambiguating, and converting pictorial forms of emoji into text, enabling NLP techniques to process this new medium of communication.
This dissertation presents EmojiNet, the largest machine-readable emoji sense inventory that links Unicode emoji representations to English meanings extracted from reliable online web sources. EmojiNet consists of: (i) 12,904 sense labels over 2,389 emoji linked to machine-readable sense definitions seen in BabelNet; (ii) context words associated with emoji senses based on word embedding models; and (iii) for some emoji, discrepancies in their presentation on different platforms. It further presents methods for emoji similarity evaluation and sense disambiguation uniquely enabled by EmojiNet. Emoji similarity methods are formed using word embedding models and are evaluated over a number of corpora. Those same embedding models are further used to carry out accuracy of emoji sense disambiguation. The EmojiNet framework, its RESTful web service, and benchmark datasets created as part of this dissertation are publicly released at http://emojinet.knoesis.org/.
Relevant publications: http://knoesis.org/Library?f%5Bsearch%5D=Sanjaya
The ability to automatically process and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication. Since their introduction in the late 1990's, emoji have been widely used to enhance the sentiment, emotion, and sarcasm expressed in social media messages. They are equally popular across many social media sites including Facebook, Instagram, and Twitter. Processing emoji using traditional Natural Language Processing (NLP) techniques is a challenging task due to the pictorial nature of emoji and the fact that (the same) emoji may be used in different contexts and cultures to express different meanings. Their polysemous nature complicates tasks such as emoji similarity calculation and emoji sense disambiguation. Having access to machine-readable sense repositories that are specifically designed to capture emoji meaning can play a vital role in representing, contextually disambiguating, and converting pictorial forms of emoji into text, enabling NLP techniques to process this new medium of communication.
This dissertation presents EmojiNet, the largest machine-readable emoji sense inventory that links Unicode emoji representations to English meanings extracted from reliable online web sources. EmojiNet consists of: (i) 12,904 sense labels over 2,389 emoji linked to machine-readable sense definitions seen in BabelNet; (ii) context words associated with emoji senses based on word embedding models; and (iii) for some emoji, discrepancies in their presentation on different platforms. It further presents methods for emoji similarity evaluation and sense disambiguation uniquely enabled by EmojiNet. Emoji similarity methods are formed using word embedding models and are evaluated over a number of corpora. Those same embedding models are further used to carry out accuracy of emoji sense disambiguation. The EmojiNet framework, its RESTful web service, and benchmark datasets created as part of this dissertation are publicly released at http://emojinet.knoesis.org/.
Relevant publications: http://knoesis.org/Library?f%5Bsearch%5D=Sanjaya
For more recommendations visit:
https://www.darrenvandam.com/
________________________________________
I'm your host, Darren Van Dam!
Tired of looking for goo...
For more recommendations visit:
https://www.darrenvandam.com/
________________________________________
I'm your host, Darren Van Dam!
Tired of looking for good movies to watch on Netflix, Amazon Prime or other streaming services? Every week I recommend a handful of the best movies on Netflix, Amazon, HBO etc. so my subscribers never run out of good movies to watch on streaming. Spending 10 minutes watching one of my videos could save you hours of searching, hours that you could otherwise spend watching good movies on streaming that you otherwise might not have ever watched or even known about.
Thanks for watching!
0:00 Introduction
0:31 WOMAN WALKS AHEAD 2017
2:27 CELLULAR 2004
3:19 THE PERFECT HOST 2010
4:39 THE TAILOR OF PANAMA 2001
5:56 HOT SUMMER NIGHTS 2017
7:23 EIGHT LEGGED FREAKS 2002
8:22 THE CARD COUNTER 2021
9:33 FROM HELL 2001
10:41 PARIS, TEXAS 1984
13:12 BLACKTHORN 2011
14:17 FRANK 2014
15:30 THE NEXT THREE DAYS 2010
16:49 DRAGGED ACROSS CONCRETE 2018
18:01 ROCKNROLLA 2008
19:11 A PRIVATE WAR 2018
20:19 THEY SHALL NOT GROW OLD 2018
21:30 LORD OF WAR 2005
22:50 BLOOD SIMPLE 1984
For more recommendations visit:
https://www.darrenvandam.com/
________________________________________
I'm your host, Darren Van Dam!
Tired of looking for good movies to watch on Netflix, Amazon Prime or other streaming services? Every week I recommend a handful of the best movies on Netflix, Amazon, HBO etc. so my subscribers never run out of good movies to watch on streaming. Spending 10 minutes watching one of my videos could save you hours of searching, hours that you could otherwise spend watching good movies on streaming that you otherwise might not have ever watched or even known about.
Thanks for watching!
0:00 Introduction
0:31 WOMAN WALKS AHEAD 2017
2:27 CELLULAR 2004
3:19 THE PERFECT HOST 2010
4:39 THE TAILOR OF PANAMA 2001
5:56 HOT SUMMER NIGHTS 2017
7:23 EIGHT LEGGED FREAKS 2002
8:22 THE CARD COUNTER 2021
9:33 FROM HELL 2001
10:41 PARIS, TEXAS 1984
13:12 BLACKTHORN 2011
14:17 FRANK 2014
15:30 THE NEXT THREE DAYS 2010
16:49 DRAGGED ACROSS CONCRETE 2018
18:01 ROCKNROLLA 2008
19:11 A PRIVATE WAR 2018
20:19 THEY SHALL NOT GROW OLD 2018
21:30 LORD OF WAR 2005
22:50 BLOOD SIMPLE 1984
If you want to to know the greatest Disney TV Shows that came out 2021 you should definitely watch our picks for the best Disney TV Series of 2021. All Disney s...
If you want to to know the greatest Disney TV Shows that came out 2021 you should definitely watch our picks for the best Disney TV Series of 2021. All Disney series in this ranking started in 2021.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Disney TV Series of 2021? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
TV Series in this Ranking:
10. Big Shot (2021– ): (00:23)
9. The Mighty Ducks: Game Changers (2021– ): (01:12)
8. The Falcon and the Winter Soldier (2021): (02:01)
7. Star Wars: Visions (2021– ): (02:48)
6. What If...? (2021– ): (03:37)
5. Star Wars: The Bad Batch (2021– ): (04:16)
4. Hawkeye (2021): (05:07)
3. The Book of Boba Fett (2021– ): (05:57)
2. WandaVision (2021): (06:50)
1. Loki (2021– ): (08:30)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
Music: www.bensound.com
If you want to to know the greatest Disney TV Shows that came out 2021 you should definitely watch our picks for the best Disney TV Series of 2021. All Disney series in this ranking started in 2021.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Disney TV Series of 2021? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
TV Series in this Ranking:
10. Big Shot (2021– ): (00:23)
9. The Mighty Ducks: Game Changers (2021– ): (01:12)
8. The Falcon and the Winter Soldier (2021): (02:01)
7. Star Wars: Visions (2021– ): (02:48)
6. What If...? (2021– ): (03:37)
5. Star Wars: The Bad Batch (2021– ): (04:16)
4. Hawkeye (2021): (05:07)
3. The Book of Boba Fett (2021– ): (05:57)
2. WandaVision (2021): (06:50)
1. Loki (2021– ): (08:30)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
Music: www.bensound.com
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities ...
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
You know what? It's time to start feeling better about things. At the risk of being late to the party, Cinefix is happy to present our list of feel good movies. This Movie List is a painstakingly curated collection of all the different ways a movie can make you feel good about the world. From underdog stories to absurdist comedy, and heart-warming to heartbreak, these are the 10 Most Uplifting Movies of All Time.
The List:
Faith In Humanity - Won't You Be My Neighbor
Underdog Story - Remember the Titans
Silly - Monty Python and the Holy Grail
Joyful - Amelie
Nostalgic - My Neighbor Totoro
Fall-In-Love - Top Hat
Carefree - Dazed and Confused / Everybody Wants Some Double Feature
Peaceful - Cemetery of Splendour
Bittersweet - Life is Beautiful
Kill a lot of Time - Fanny and Alexander
Knifes Music and Socials:
https://knif.es
Video Direction & Editing: Brian Diaz
social: https://www.instagram.com/briankeithdiaz
Disambiguation - from Knifes EP "Proof of Concept"
Words and Music by: Knifes
2020 Keystone Estates
#Knifes #ProofOfConcept #Disambiguation #MusicVideo #MTVExclusive
If you want to see the life after death or the world to come you should definitely watch our picks for the best Afterlife movies.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Afterlife Movie? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
5. Hereafter (2010): (00:11)
4. The Lovely Bones (2009): (02:25)
3. What Dreams May Come (1998): (04:48)
2. Ghost (1990): (06:17)
1. Beetlejuice (1988): (08:24)
You want to work with us?
For collaboration requests please contact us via…
Mail: [email protected]
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
The ability to automatically process and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication. Since their introduction in the late 1990's, emoji have been widely used to enhance the sentiment, emotion, and sarcasm expressed in social media messages. They are equally popular across many social media sites including Facebook, Instagram, and Twitter. Processing emoji using traditional Natural Language Processing (NLP) techniques is a challenging task due to the pictorial nature of emoji and the fact that (the same) emoji may be used in different contexts and cultures to express different meanings. Their polysemous nature complicates tasks such as emoji similarity calculation and emoji sense disambiguation. Having access to machine-readable sense repositories that are specifically designed to capture emoji meaning can play a vital role in representing, contextually disambiguating, and converting pictorial forms of emoji into text, enabling NLP techniques to process this new medium of communication.
This dissertation presents EmojiNet, the largest machine-readable emoji sense inventory that links Unicode emoji representations to English meanings extracted from reliable online web sources. EmojiNet consists of: (i) 12,904 sense labels over 2,389 emoji linked to machine-readable sense definitions seen in BabelNet; (ii) context words associated with emoji senses based on word embedding models; and (iii) for some emoji, discrepancies in their presentation on different platforms. It further presents methods for emoji similarity evaluation and sense disambiguation uniquely enabled by EmojiNet. Emoji similarity methods are formed using word embedding models and are evaluated over a number of corpora. Those same embedding models are further used to carry out accuracy of emoji sense disambiguation. The EmojiNet framework, its RESTful web service, and benchmark datasets created as part of this dissertation are publicly released at http://emojinet.knoesis.org/.
Relevant publications: http://knoesis.org/Library?f%5Bsearch%5D=Sanjaya
For more recommendations visit:
https://www.darrenvandam.com/
________________________________________
I'm your host, Darren Van Dam!
Tired of looking for good movies to watch on Netflix, Amazon Prime or other streaming services? Every week I recommend a handful of the best movies on Netflix, Amazon, HBO etc. so my subscribers never run out of good movies to watch on streaming. Spending 10 minutes watching one of my videos could save you hours of searching, hours that you could otherwise spend watching good movies on streaming that you otherwise might not have ever watched or even known about.
Thanks for watching!
0:00 Introduction
0:31 WOMAN WALKS AHEAD 2017
2:27 CELLULAR 2004
3:19 THE PERFECT HOST 2010
4:39 THE TAILOR OF PANAMA 2001
5:56 HOT SUMMER NIGHTS 2017
7:23 EIGHT LEGGED FREAKS 2002
8:22 THE CARD COUNTER 2021
9:33 FROM HELL 2001
10:41 PARIS, TEXAS 1984
13:12 BLACKTHORN 2011
14:17 FRANK 2014
15:30 THE NEXT THREE DAYS 2010
16:49 DRAGGED ACROSS CONCRETE 2018
18:01 ROCKNROLLA 2008
19:11 A PRIVATE WAR 2018
20:19 THEY SHALL NOT GROW OLD 2018
21:30 LORD OF WAR 2005
22:50 BLOOD SIMPLE 1984
If you want to to know the greatest Disney TV Shows that came out 2021 you should definitely watch our picks for the best Disney TV Series of 2021. All Disney series in this ranking started in 2021.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Disney TV Series of 2021? Let us know in the comments!
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Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
Emotion, in psychology and common use, refers to the complex reaction of an organism to significant objects or events, with subjective, behavioral, physiological elements.
delays or impairments of an infant’s cognitive, social-emotional, and/or neurobehavioral development can also occur, leading to difficulties in learning and forming effective relationships later in life.