Popular GitHub Repositories for Stopwords

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

NLP tutorials and guidelines to learn efficiently

Multilingual NLP Text Processing in Python

Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and human languages.

Embark on your NLP journey by learning essential techniques through a series of notebooks designed to kickstart your career in this field.

In the same time, flames (such as rants, taunts, and squalid phrases) are offensive/abusive phrases which might attack or offend the users for a variety of reasons. An automatic discriminative software with a sensitivity parameter for flame or abusive language detection would be a useful tool.

Sentiment Analysis for Moroccan Dialect

The course "Natural Language Processing Applications" in the Artificial Intelligence program at the National Polytechnic Institute (IPN).

Testing & learning different nlp and lex techniques

NLP Hand Written Notes

Takes transcripts/subtitles for a given YouTube video Id using a Python API. Perform text summarization on obtained transcripts using NLTK. Build a Django backend to expose the summarization service to the client. Develop a basic website which will utilize the backend to display summarized text to the user.

Repo Related to Natural Language Processing and Social Media Analytics.

NLP: Sentiment Analysis or Emotion Mining on Amazon Product Reviews - Part-1. Let’s learn the NLP techniques to perform Sentiment Analysis or Emotion Mining on extracted Product Reviews from Amazon. Part-1 covers Text preprocessing and Feature extraction, the next part covers Sentiment Analysis or Emotion Mining on text corpus. https://medium.com/@vaitybharati/nlp-sentiment-analysis-or-emotion-mining-on-amazon-product-reviews-part-1-428d43112027

Natural Language Processing

Film Junky Union, a new community for classic movie fans is developing a system to filter and categorize movie reviews, and its main mission is to train models to automatically detect negative reviews.

A project featuring the use of various NLP techniques and ML algorithms like the topic modelling and paragraph embeddings, for document clustering. ??

This project applies Text Mining techniques using Python (NLTK, spaCy, TextBlob) to analyze a book. It includes text cleaning, tokenization, sentiment analysis, and keyword extraction to uncover insights.

UNCC Fintech Bootcamp Natural Language Processing Homework. The purpose of this assignment was to gain deeper knowledge of how to apply Natural Language Processing (NLP) in real world situations. Tools/Methods Used: Sentiment Analysis, Natural Language Processing, Named Entity Recognition, Lemmatization, Tokenization and Stopwords, spaCy, Reading in APIs (NewsAPI)

This is a NLP Project contains concepts Tokenization, Stemming, Lemmatization, Vectorization.

Classification model with NLP to learn which subreddit a given post came from.