Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Updated
Dec 5, 2023 - Python
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
🔍 This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. #️⃣ 🐦
🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
Python
AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/
Sentiment analysis dashboard for Twitter hashtags
Sentiment Analysis of a Twitter Topic with Spark Structured Streaming
Pretrained BERT model for analysing COVID-19 Twitter data
Computes sentiment analysis of tweets of US States in real-time using Storm.
💹 A web app to search twitter based on #Hashtags and calculate the sentiment of tweets.
Computes and visualizes the 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.
Twitter Sentiment Analysis
Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset
Twitter Sentiment Analysis For Turkish Language
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
Twitter Sentiment Analysis using #tag, words and username
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