Alternatives and similar repositories for TweetsClassification

Users that are interested in TweetsClassification are comparing it to the libraries listed below

• rafaljanwojcik / Unsupervised-Sentiment-Analysis
  How to extract sentiment from opinions without any labels
  ☆139Updated 3 years ago
• MartinKBeck / TwitterScraper
  Repository containing all files relevant to my basic and advanced tweet scraping articles.
  ☆200Updated last year
• gabrielpreda / covid-19-tweets
  Covid-19 tweets
  ☆39Updated 4 years ago
• martinpella / twitter-airlines
  Sentiment Analysis on tweets from US airlines customers
  ☆14Updated 7 years ago
• kapadias / medium-articles
  ☆212Updated last year
• marcmuon / nlp_yelp_review_unsupervised
  Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review …
  ☆75Updated 5 years ago
• DemetersSon83 / NRCLex
  An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
  ☆71Updated 2 years ago
• derekgreene / topic-model-tutorial
  Tutorial on topic models in Python with scikit-learn
  ☆157Updated last year
• openp2pdesign / Twitter-Social-Network-Analysis
  Social Network Analysis of Twitter
  ☆14Updated 11 years ago
• TiesdeKok / Python_NLP_Tutorial
  This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
  ☆125Updated 4 years ago
• jeremygrace / amazon-reviews
  Sentiment Analysis & Topic Modeling with Amazon Reviews
  ☆32Updated 8 years ago
• marquisvictor / Optimized-Modified-GetOldTweets3-OMGOT
  GetOldTweets-Python is a project written in Python to mine old and backdated tweets, It bypasses some limitations/restrictions of the Twi…
  ☆126Updated 2 years ago
• bhattbhavesh91 / BERT-Topic-Modeling
  Small tutorial on how you can use BERT for Topic Modeling
  ☆17Updated 3 years ago
• andorfermichael / tripadvisor-scraper
  Scrape the hotel reviews of a whole city on TripAdvisor
  ☆35Updated 5 years ago
• wjbmattingly / topic_modeling_textbook
  ☆107Updated 4 years ago
• azeezsanya / NLP-Topic-Modeling-and-Sentiment-Analysis-of-luxury-car--reviews
  Using NLP and LDA for Topic Modeling and Sentiment Analysis
  ☆43Updated 4 years ago
• rahulpatraiitkgp / Applied-Social-Network-Analysis-in-Python
  Course - 5; Specialization: Applied Data Science with Python; University Of Michigan
  ☆113Updated 7 years ago
• llefebure / un-general-debates
  Analysis and experiments on the UN General Debate corpus
  ☆36Updated 6 years ago
• sejaldua / digesting-the-digest
  Using the Gmail API to topic model my recommended Medium reads
  ☆24Updated 3 years ago
• Computational-Content-Analysis-2018 / Content-Analysis
  ☆31Updated 7 years ago
• sambhipiyush / Applied-Social-Network-Analysis-in-Python-University-of-Michigan
  Applied Social Network Analysis in Python by University of Michigan on Coursera
  ☆79Updated 4 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆72Updated 4 years ago
• vedant-95 / Twitter-Hate-Speech-Detection
  A repository
  ☆39Updated 5 years ago
• Deffro / text-preprocessing-techniques
  16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
  ☆224Updated 6 years ago
• LowriWilliams / Aspect_Sentiment_Analysis
  An investigation into sentiment analysis and topic modelling techniques.
  ☆28Updated 4 years ago
• digitalepidemiologylab / crowdbreaks-paper
  Material related to paper "Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing"
  ☆12Updated 4 years ago
• FavioVazquez / twitter_optimus_twint
  Analyzing tweets with Twint, Optimus and Apache Spark.
  ☆66Updated 6 years ago
• israel-dryer / Twitter-Scraper
  A python web scraper for Twitter data
  ☆97Updated 3 years ago
• jacobod / Facebook-Metrics-Prediction
  Analysis and Modeling of the UCI Facebook Metrics Dataset
  ☆13Updated 7 years ago
• giuseppegambino / Scraping-TripAdvisor-with-Python-2020
  Python implementation of web scraping of TripAdvisor with Selenium in a new 2019 website
  ☆90Updated 2 years ago