A Large Corpus for Supervised Word-Sense DisambiguationPhilosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
Video database - Xvideos.com
Embed all xvideos to your site at once! There are no restriction to the number of videos you can place on your site. Many large sites use our videos. Embedding videos is more interesting for you than sending traffic directly to other sites. Here is a link to easily import our database of embeddable videos to your site. It contains about 7,000,000 videos with video URL, thumb URL, tags, duration, t
National Centers for Environmental Information (NCEI) formerly known as National Climatic Data Center (NCDC) | NCEI offers access to the most significant archives of oceanic, atmospheric, geophysical and coastal data.
An official website of the United States government Here's how you know The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted sec
Instructions for Obtaining Search Engine Transaction Logs
Obtaining Search Engine Transaction Logs There are currently six transaction logs available for release. They are: Excite_1997_small. Excite_1997_large Excite_1999 Excite_2001 AlltheWeb_2001 AlltheWeb_2002 AltaVista_2003 (four files, one from each vertical: Web, Audio, Image, Video) At the moment, these are the only transaction logs available. Please email me, Jim Jansen, if you would like access
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毎日新èžCD-ROM (1991å¹´) Type Text Type.linguistics annotation/corpus Description 1991å¹´ã®æ¯Žæ—¥æ–°èžã®è¨˜äº‹ã‚’åŽéŒ²ã—ãŸCD-ROM。約10,000記事。 Annotation.document keyword Creator 毎日新èžç¤¾ Contact person 日外アソシエーツ (data-saleã‚ã£ã¨nichigai.co.jp) Price 126,000円 Subject.language 日本語 Date 1991 Format 1 CD-ROM. Format.encoding Shift_JIS Relation IsPartOf 毎日新èžCD-ROM URI http://www.nichigai.co.jp/sales/mainichi/mai
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大è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã‚’ç„¡æ–™ã§æ‰‹ã«å…¥ã‚Œã‚‹ã“ã¨ã®ã§ãるサイトã¾ã¨ã‚ - nokunoã®æ—¥è¨˜
大è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ãŒå…¬é–‹ã•ã‚Œã¦ã„るサイトã«ã¤ã„ã¦ä»¥ä¸‹ã®Quoraã§id:makimotoã•ã‚“ãŒè³ªå•ã—ã¦ã„ã¾ã—ãŸã€‚Data: Where can I get large datasets open to the public? - Quora以下ã€ç´¹ä»‹ã•ã‚Œã¦ã„るサイトã®ä¸€è¦§ã§ã™ã€‚一部有料ã®ã‚‚ã®ã‚‚ã‚るよã†ã§ã™ã€‚UCI Machine Learning RepositoryPublic Data Sets : Amazon Web ServicesCRAWDADno titleCity of Chicago | Data PortalGovLoop | Social Data Network for Governmentdata.gov.uk | Opening up governmentData.Medicare.GovData.Seattle.Gov | Seattle’s Data SiteOp
livedoor Techブãƒã‚° : livedoor グルメ㮠DataSet を公開
櫛井ã§ã™ã€‚ ä»¥å‰ livedoor clip ã®ãƒ‡ãƒ¼ã‚¿ã‚’å¦è¡“ç ”ç©¶ç”¨ã«å…¬é–‹ã—ã¾ã—ãŸãŒï¼ŒãŠã‹ã’ã•ã¾ã§ï¼ŒãŸã¾ã«ç™ºè¡¨ç‰ã§ livedoor clip ã¨ã„ã†åå‰ãŒå¼•ç”¨ã•ã‚Œã¦ã„ã‚‹ã®ã‚’見ã‹ã‘るよã†ã«ã‚‚ãªã‚Šæ„Ÿæ…¨æ·±ã„é™ã‚Šã§ã™ã€‚ ã•ã¦ï¼Œä»Šå›žã¯ç¬¬äºŒå¼¾ã¨ã—ã¾ã—ã¦ï¼Œlivedoor グルメã®ãƒ‡ãƒ¼ã‚¿ã‚’ã¾ã¨ã‚ã¦ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ & 利用å¯èƒ½ã«ã—よã†ã¨æ€ã„ã¾ã™ã€‚ 今回ã¯ã„ã‚ã„ã‚ã¨ä½™è£•ãŒãªã‹ã£ãŸãŸã‚ 豪è¯ãªã‚¤ãƒ©ã‚¹ãƒˆä»˜ãページãŒç”¨æ„ã§ãã¾ã›ã‚“ã§ã—㟠livedoor clip ã®ãƒ‡ãƒ¼ã‚¿ã¨ã¯é•ã„，定期アップデートã¯ã•ã‚Œã¾ã›ã‚“。2011å¹´4月22æ—¥ã®æ™‚点ã®ãƒ‡ãƒ¼ã‚¿ã®ã¿ã¨ãªã‚Šã¾ã™ ...ãŒï¼Œãªã«ã‹ã—ら皆様ã®ç ”究ã®ãŠå½¹ã«ç«‹ã¦ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ よãã‚ã‚Šãã†ãªè³ªå•ã¨ç”㈠ライブドアグルメã®ãƒ¦ãƒ¼ã‚¶ã§ã™ãŒï¼Œè‡ªåˆ†ã®å€‹äººæƒ…å ±ãŒå…¬é–‹ã•ã‚Œã¡ã‚ƒã†ã£ã¦ã“ã¨ï¼Ÿå›°ã‚Šã¾ã™ï¼ 公開ã•ã‚Œã‚‹ã®ã¯ï¼Œã‚‚ã¨ã‚‚ã¨ãƒ©ã‚¤ãƒ–ドアグルメã®ã‚µã‚¤ãƒˆã§èª°ã§ã‚‚見れるよã†ã«ãªã£ã¦ã„ã‚‹æƒ…å ±ã ã‘ã§
KDnuggets
How (Not) To Use Python’s Walrus Operator The Walrus operator, introduced in Python 3.8, enables assignment within expressions, but requires careful use to maintain readability. And this tutorial will teach you how. By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on August 15, 2024 in Python Beginner’s Guide to Careers in AI and Machine Learning The AI and ML complexi
Datasets
The AOL query log We have modeled the AOL query-log as an undirected bipartite labeled graph with two kinds of vertices: query and URL, and with (multi-)labels on both edges and vertices. A query/URL vertex is labeled with a query/URL occurring in the AOL query-log, respectively. An edge (q,u) between a query vertex q and a URL vertex u is defined if query q has lead some user of AOL to click on t
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å˜èªžæ„Ÿæƒ…極性対応表 日本語ãŠã‚ˆã³è‹±èªžã®å˜èªžã¨ãã®æ„Ÿæƒ…極性ã®å¯¾å¿œè¡¨ã‚’ã€ ç ”ç©¶ç›®çš„ã®åˆ©ç”¨ã«é™ã‚Šå…¬é–‹ã—ã¾ã™ã€‚ 感情極性ã¨ã¯ã€ãã®èªžãŒä¸€èˆ¬çš„ã«è‰¯ã„å°è±¡ã‚’æŒã¤ã‹ï¼ˆpositive） 悪ã„å°è±¡ã‚’æŒã¤ã‹ï¼ˆnegative）を表ã—ãŸäºŒå€¤å±žæ€§ã§ã™ã€‚ 例ãˆã°ã€ã€Œè‰¯ã„ã€ã€ã€Œç¾Žã—ã„ã€ãªã©ã¯positiveãªæ¥µæ€§ã€ 「悪ã„ã€ã€ã€Œæ±šã„ã€ãªã©ã¯negativeãªæ¥µæ€§ã‚’æŒã¡ã¾ã™ã€‚ 感情極性値ã¯ã€èªžå½™ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’利用ã—ã¦è‡ªå‹•çš„ã«è¨ˆç®—ã•ã‚ŒãŸã‚‚ã®ã§ã™ã€‚ ã‚‚ã¨ã‚‚ã¨äºŒå€¤å±žæ€§ã§ã™ãŒã€-1ã‹ã‚‰+1ã®å®Ÿæ•°å€¤ã‚’割り当ã¦ã¾ã—ãŸã€‚ -1ã«è¿‘ã„ã»ã©negativeã€+1ã«è¿‘ã„ã»ã©positiveã¨è€ƒãˆã‚‰ã‚Œã¾ã™ã€‚ リソースã¨ã—ã¦ã€æ—¥æœ¬èªžã¯ã€Œå²©æ³¢å›½èªžè¾žæ›¸ï¼ˆå²©æ³¢æ›¸åº—）ã€ã‚’〠英語ã¯WordNet-1.7.1を使ã‚ã›ã¦ã„ãŸã ãã¾ã—ãŸã€‚ ã“ã¡ã‚‰ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¦ãã ã•ã„→[日本語] [英語] フォーマットã¯ã€å„è¡ŒãŒä¸€å˜èªžã«å¯¾å¿œã—〠見出ã—語:èªã¿:å“
Stanford Large Network Dataset Collection
Open research positions in SNAP group are available at undergraduate, graduate and postdoctoral levels. Social networks : online social networks, edges represent interactions between people Networks with ground-truth communities : ground-truth network communities in social and information networks Communication networks : email communication networks with edges representing communication Citation
Multi-Domain Sentiment Dataset
This sentiment dataset supersedes the previous data (still available here). Link to download the data: [unprocessed.tar.gz] (1.5 G) [processed_acl.tar.gz] (19 M) [processed_stars.tar.gz] (33 M) This sentiment dataset has been used in several papers: John Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Associat
MNIST handwritten digit database, Yann LeCun and Corinna Cortes
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spendin
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