Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset
- Updated
May 13, 2020 - HTML
Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset
Twitter Sentiment analysis with polarity and subjectivity using Python
An AI Powered Behavioral Analysis Web Application
Dashboard of Twitter sentiment analysis
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End-to-end study of EA Sports' FIFA localization
The Don Elon AI is a twitter sentiment analysis tool. Based on an analysis of over 15'000 different tweets, it is able to categorise tweets and twitter profiles into various different categories. The categories are represented by a string of fictional celebrities, including Don, Elon, AOC, Kylie, Dr. Jordan, and Mia.
This is an analysis on Black Lives Matter Tweets from Normal People and News Channels using various Unsupervised Natural Language Processing techniques. Tweets starting from 2020-05-25 (death of George Floyd) to 2020-08-01.
NLP on Mental Health Issues in Twitter Data - Winner of Pearl Hacks 2020
This web application performs sentiment analysis on tweets using Twitter's API.
This is the sentiment analysis on the #VisitRwanda on twitter, this is a campaign of eco tourism in Rwanda that promotes touristic places attraction in Rwanda.
README is a tutorial for conducting an Exploratory Data Analysis (EDA) of tweets based on my summer 2022 MnDRIVE Human in the Data Fellowship. Also included is code for an EDA of Aquatic Invasive Species-related tweets that can be adapted to your use case.
Search for tweets and download the data labeled with its polarity in CSV format
SNAPP - Soil Organic Carbon Twitter data
A projected aimed at understanding how resources vary in Northern Cape cities or towns to make decisions that influence policy amendments
Sentiment Analysis of Tweets via rtweet
Web application designed to analyze the sentiment of tweets using machine learning technology
Twitter Data Collection, Analysis Tool
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