Alternatives and similar repositories for amazon-reviews

Users that are interested in amazon-reviews are comparing it to the libraries listed below

• marrrcin / ml-twitter-sentiment-analysis
  Jupyter Notebook + Python code of twitter sentiment analysis
  ☆112Updated 7 years ago
• prateekjoshi565 / twitter_sentiment_analysis
  A guide for binary class sentiment analysis of tweets.
  ☆94Updated 7 years ago
• msahamed / yelp_comments_classification_nlp
  Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
  ☆75Updated 6 years ago
• nkartik94 / Multi-Label-Text-Classification
  Kaggle Toxic Comments Challenge
  ☆109Updated 7 years ago
• tthustla / twitter_sentiment_analysis_part1
  data preparation
  ☆90Updated 7 years ago
• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 9 years ago
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆197Updated 5 years ago
• Deffro / text-preprocessing-techniques
  16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
  ☆228Updated 6 years ago
• adsieg / Multi_Text_Classification
  Multi Text Classificaiton
  ☆92Updated 6 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 8 years ago
• derekgreene / topic-model-tutorial
  Tutorial on topic models in Python with scikit-learn
  ☆157Updated 2 years ago
• cmasch / cnn-text-classification
  Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
  ☆122Updated 4 years ago
• AnjaliDharmik / Text-Similarity-Using-Siamese-Deep-Neural-Network
  It is a keras based implementation of Deep Siamese Bidirectional LSTM network to capture phrase/sentence similarity using word embedding.
  ☆17Updated 4 years ago
• genyunus / Detecting_Fake_News
  Detecting Fake News with 52,000 article with %97 Accuracy
  ☆94Updated 5 years ago
• kapadias / medium-articles
  ☆211Updated 2 years ago
• aayush210789 / Deception-Detection-on-Amazon-reviews-dataset
  A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set …
  ☆55Updated 7 years ago
• SudalaiRajkumar / NLP
  Generic codes related to NLP
  ☆85Updated 7 years ago
• BoPengGit / LDA-Doc2Vec-example-with-PCA-LDAvis-visualization
  ☆38Updated 9 years ago
• FelixChop / MediumArticles
  Sample of Python codes from mathematical problems
  ☆110Updated 6 years ago
• Architectshwet / Amazon-Fine-Food-Reviews
  Sentiment Analysis on Amazon Fine Food Reviews Data in Python
  ☆12Updated 7 years ago
• vivekkalyanarangan30 / Text-Clustering-API
  Implementation of a text clustering algorithm using Kmeans clustering in order to derive quick insights from unstructured text
  ☆126Updated last year
• ahmedbesbes / How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python
  A practical guide to topic mining and interactive visualizations
  ☆74Updated 7 years ago
• utkuozbulak / unsupervised-learning-document-clustering
  Document clustering and topic modelling with Python
  ☆87Updated 7 years ago
• 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 …
  ☆76Updated 6 years ago
• llSourcell / word_vectors_game_of_thrones-LIVE
  This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube
  ☆172Updated 6 years ago
• prateekjoshi565 / topic_modeling_online_reviews
  ☆33Updated 7 years ago
• Currie32 / Text-Summarization-with-Amazon-Reviews
  A seq2seq model that can generate summaries from fine food reviews on Amazon.
  ☆233Updated 8 years ago
• olafmaas / hackdelft
  HackDelft
  ☆81Updated 8 years ago
• pmin91 / DS_projects
  Data-driven projects repo
  ☆75Updated 6 years ago
• duyunshu / bert-sentiment-analysis
  This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Act…
  ☆57Updated 6 years ago