There are 5 repositories under textblob topic.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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 repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Arabic support for textblob
Inhibits commits with bad messages from getting merged
Sentiment Analysis Project using Natural Language Processing (NLP) Techniques
Basic script to retrieve and perform Sentiment Analysis on Facebook Posts.
This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.
Analisis sentimen masyarakat Indonesia terhadap kebijakan pemerintah mengenai vaksin COVID-19.
Simple example of using TextBlob to perform sentiment analysis
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
Application made with Node.js and Python.
This is a Natural Language Processing applications WebApp useful for basic NLP task implemented using State of the Art API's on Streamlit Framework
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
Perform sentiment analysis on tweets using NLTK and TextBlob!
Harnessing Machine Learning for classifying and estimating Twitter user's opinions and thoughts on a given topic.
A python project that automates the analysis of tweets emotions
Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)
NLP basic and advance text preprocessing concepts and techniques
A collection of python projects relating to natural language processing, including computational linguistics, network graph analysis, and patent analytics. Live examples are hosted on my JupyterHub and demonstrate some of my favorite libraries, including spaCy, Pandas, NetworkX, Gensim, and TextBlob. Also includes a sprinkle of blockchain and my published papers.
In this repo i created a twitter sentiment analysis on flask app (web base).
A simple Python Program to Analyze Sentiments using TextBlob Python Library.
Vecna is a Python chatbot which recommends songs and movies depending upon your feelings
This repo contains project done by me in the course of tools in data science which is part of BSC degree in Programming and Data Science from IIT Madras
Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.
Telegram bot for translation messages to certain languages
Twitter Sentiment analysis with polarity and subjectivity using Python
RBI Governor Speech Texts Sentiment Analysis is the project on web scraping, text pre-processing and normalization, data visualization and sentiment analysis using data provided by RBI.
Web Scraper to scrape articles from multiple websites at the same time.
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
Introducing Natural Language Processing (NLP) with jupyter notebooks.