Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin
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Updated
Mar 26, 2018 - HTML
Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin
Twitter Sentiment analysis with polarity and subjectivity using Python
A comparasion between TextBlob library's sentiment analysis method and nltk's vaderSentiment Analysis method. Used movie review dataset which comes with nltk module.
Microservices project. Contains four microservices (Twitter Feed, News Feed, Sentiment Analysis, Web Page to display the sentiment results)communicating with RabbitMQ, using MongoDB and Flask all services are done in Python. Docker and Kubernetes are used for the system and it was deployed on Minikube.
This project is based on Sentimental Analysis of by Live Streaming of Twitter Data using Hashtags with The help of Tweepy API by Twitter and also libraries like textblob, Pandas etc.
You can watch the working of this project at https://www.youtube.com/watch?v=me782RAMM3Y
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
Experimenting with Twitter API's and gathering tweets from twitter
Sentiment Analysis (understanding and extracting feelings from Data), Create an API for Twitter, Use TextBlob for NLP tasks
🔍 Places finder using Natural Language Processing
Extracting titles of business page of DAWN Pakistan to use in NLP and Stock Market prediction
DBMS mini project implemented to calculate rating of a movie by analyzing the reviews given by the user.
Cyberbullying Detection using Semantic Analysis
Analyzing reaction to tweets using TextBlob
Sentiment Analysis using Textblob deployed through flask and docker.
Twitter Sentiment Analysis With Graphs, Popularity Analysis With Time Series Graphs Using TextBlob and Python.
Comparative Analysis
COT6930 Natural Language Processing, Spring 2019
simple script for downloading Youtube comments without using the Youtube API
tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.
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