Natural language parsing from streamed tweets

Progetto di Linguistica Computazionale per la tesi di laurea triennale in Informatica Umanistica

Visual the parts of speech in a paragraphs using NLTK package

NLP (KhNURE lections)

Research about NLP.

Using the foundation and understanding of my first approach to song sentiment analysis using lyrics, created a more robust and better approach to this problem.

Sentiment Analysis module created in Python using nltk, connected to Twitter

This is an experiment on text classification using different supervised learning classifiers and their variants conducted on the Reuters-21578 dataset. The aim is to evaluate the best performance for each of the classifiers by properly tuning the parameters of each classifier so that the least error is recorded during the classification.

Using BeautifulSoup to analyze HTML and NLTK VADER to do sentiment analysis on news headlines

During disaster events, sending messages to appropriate disaster relief agencies on a timely manner is critical. Using natural language processing and machine learning, I built a model for an API that classifies disaster messages and also a webapp for emergency works.

Tweet Sentiment Analysis using nltk library and N-gram models

A simple chatbot just to make use of interaction with human users

This repository has implemented of mini search engine for the corpus of five documents using python, NLTK and Tkinter.

This project aims to reduce string redundancy by utilizing some of the string similarity concepts of NLP .

Academic capstone project on Hate Speech Detection Model. A machine learning model comprising of Naive-Bayes classifier and Bag-of-Words model to classify and categorize hateful content generated on social media.

A NLP project where I tried to classify emails on whether they are spam or "ham" (i.e. not spam) using different features for my model.

Estudo de Caso - Previsão de Palavras com Base no Contexto e Visualização com PCA