#
twitter-sentiment-analysis
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502 public repositories
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Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Updated
Mar 27, 2022
Python
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Updated
May 11, 2020
Jupyter Notebook
Pretrained BERT model for analysing COVID-19 Twitter data
Updated
Feb 10, 2022
Python
🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
Updated
Apr 27, 2021
Scala
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Updated
Feb 22, 2021
Python
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
Updated
Jan 2, 2020
Python
Sentiment analysis dashboard for Twitter hashtags
Updated
Apr 21, 2022
Jupyter Notebook
Twitter Sentiment Analysis For Turkish Language
Updated
Jun 2, 2019
Python
Computes sentiment analysis of tweets of US States in real-time using Storm.
A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.
Updated
Sep 25, 2019
Java
Sentiment Analysis of a Twitter Topic with Spark Structured Streaming
Updated
Dec 12, 2018
Python
Hashformers is a framework for hashtag segmentation with transformers.
Updated
Apr 8, 2022
Jupyter Notebook
Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Updated
May 11, 2018
Python
Predicting Consumer Purchase intention using Twitter Data
Updated
Sep 27, 2020
Jupyter Notebook
This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.
Updated
Aug 10, 2021
Jupyter Notebook
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.
Updated
Mar 24, 2020
Jupyter Notebook
Sentiment analysis for Twitter and social media
Updated
Apr 25, 2022
Java
情感分析,微博情感分析,微博水军检测,水军检测,营销粉检测,僵尸粉检测,微博爬虫
Updated
Feb 22, 2021
Jupyter Notebook
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
Updated
May 9, 2018
Python
Twitter Sentiment Analysis using #tag, words and username
Updated
Feb 8, 2022
Python
Sentiment Analysis Project using Natural Language Processing (NLP) Techniques
Updated
Jan 15, 2021
Jupyter Notebook
Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana
Updated
Jan 28, 2018
Scala
Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO
Updated
Oct 10, 2017
JavaScript
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
Updated
Jun 4, 2019
Jupyter Notebook
This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.
Updated
Mar 11, 2022
Python
Updated
Oct 31, 2020
Python
A tutorial which walks you through how you can create code that pulls your Tweets from the past 7 days and gives you a score to let you know exactly how your week has been.
Updated
Oct 1, 2020
Jupyter Notebook
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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.