Data Manipulation project with Python to scrape Facebook and Tesla news headlines, in conjunction with sentiment analysis using NLTK and VADER to generate investment insight.

Twitter Sentiment Analysis (Twitter API pipeline to SQL / S3)

EDA and sentiment analysis on Donald Trump tweets.

SentiMap is a data visualization software that allows users to gain crucial insights into public sentiments surrounding climate change.

4th module for Web Mining and NLP. This repo focuses on sentiment analysis using spacytextblob and working with JSON files

Whatsapp group chat analysis

Resources for the 2023 International Womens Day masterclass on NLP with Twitter and HuggingFace

US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.

Initial testing repository for the article hosted on UNic-AILab.github.io

As last Udacity Deep Learning Nanodegree project...we build a we app (http://webhome.auburn.edu/~cae0027/resources/sentiment-analysis/deployed.html) to classify movie review as either POS or NEG. The app sends requests to AWS Sagemaker hosted Sentiment Analysis model, gives feedback to the user through an Endpoint API..

KNOWT is an article summarizer that uses website URLs

This project involves a descriptive analysis on the text mining data extracted from Twitter and Reddit. The nature of the text is political and was centered on public opinion towards the Indian elections in 2019.

This repository uses text-as-data methods alongside traditional primary source reading to analyze early American state constitutions. The R scripts create a function to scrape and clean the constitutional text, run sentiment analysis, calculate tf-idf, and perform LDA. This is a work-in-progress.

Building and deploying a model which predicts the sentiment of a user-provided movie review and creating a simple web app that uses the deployed model.

Smart Public Comment Analyser and Quality Improvement scope extractor.

Análisis de sentimientos de los tweets de Donald Trump

Projects for Udacity Deep Learning Nanodegree Program: CNN, RNN, GANs

A Whatsapp text analysis in R. Includes various Analysis such as Number of Messages, Timeline of Messages w.r.t Months, Sentiment Analysis etc.

Sentiment Analysis using Neural Networks