clips/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Sentiment Classification using Word Sense Disambiguation
$ git clone https://github.com/kevincobain2000/sentiment_classifier.gitWeb mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
Data from GitHub ยท snapshot Sep 24, 2026