Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Updated
Jun 8, 2020 - Python
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Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Pretrained BERT model for analysing COVID-19 Twitter data
Twitter Sentiment Analysis For Turkish Language
Computes sentiment analysis of tweets of US States in real-time using Storm.
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.
Sentiment Analysis of a Twitter Topic with Spark Structured Streaming
Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Computes and visualizes the sentiment analysis of tweets of US States in real-time using Storm.
Code for "TDParse: Multi-target-specific sentiment recognition on Twitter", EACL, 2017
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Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
Predicting Consumer Purchase intention using Twitter Data
An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy
Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO
Python
A Simple Approach to Twitter Sentiment Analysis in R Programming Language
GUI Application for Twitter Scraping and Sentiment Analysis.
Get Tweet by giving keyword and do keyword analysis
Tensorflow implementation of Target-dependent LSTM (Tang et al. 2016)
Resources related to NLP
Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.
A Spark Streaming implementation for Online Twitter Sentiment Analysis.
split lower case twitter hash tags by word entropy
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Currently the percentage of positive, negative & neutral tweets are shown in terminal. It's better to represent the same in pie chart.