Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Amazon Product Recommender System | 113 | 6 years ago | Jupyter Notebook | |||||||
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html | ||||||||||
Sentimentanalysislab | 79 | a year ago | 18 | JavaScript | ||||||
This lab is about how to add the AI and ML cloud service feature to your web application with React and the Amplify Framework. | ||||||||||
Amazon Rekognition Engagement Meter | 53 | 3 months ago | mit-0 | JavaScript | ||||||
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting | ||||||||||
Tensorflow Sentiment Analysis On Amazon Reviews Data | 23 | 5 years ago | Python | |||||||
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project. | ||||||||||
Sentiment Analysis Amazon Products Reviews | 20 | 4 years ago | Jupyter Notebook | |||||||
NLP with NLTK for Sentiment analysis amazon Products Reviews | ||||||||||
Amazon Mobile Sentiment Analysis | 18 | 6 years ago | Python | |||||||
Opinion mining of Mobile reviews on Amazon platform | ||||||||||
Plansum | 17 | 2 years ago | mit | Python | ||||||
[AAAI2021] Unsupervised Opinion Summarization with Content Planning | ||||||||||
Amazon Reviews | 17 | 7 years ago | Jupyter Notebook | |||||||
Sentiment Analysis & Topic Modeling with Amazon Reviews | ||||||||||
Rnn Amazon Fine Food Reviews | 10 | 7 years ago | HTML | |||||||
Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network | ||||||||||
Quickseek | 10 | 5 years ago | Python | |||||||
QuickSeek is a chrome extension that allows you to easily search and navigate through a YouTube video, you can quickly find and watch only parts of the video that contain words you are looking for. The Chrome extension uses Amazon Transcribe to make the audio searchable and Amazon Comprehend to perform sentiment analysis on the transcript. |