sharmaroshan/Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Implements a complete NLP pipeline including text preprocessing (removing punctuation, special characters, and stopwords), exploratory data analysis with word frequency and hashtag trend visualization, and feature extraction using Bag-of-Words and TF-IDF representations. The project addresses hate speech detection as a binary classification task evaluated on F1-Score, processing tweets through sequential stages from raw text cleaning to model training for racist/sexist content identification.
270 stars. No commits in the last 6 months.
Stars
270
Forks
128
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Nov 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sharmaroshan/Twitter-Sentiment-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
cardiffnlp/tweetnlp
TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a...
the-javapocalypse/Twitter-Sentiment-Analysis
This script can tell you the sentiments of people regarding to any events happening in the world...
riochr17/Analisis-Sentimen-ID
Analisis Sentimen Twitter dengan TFIDF-ANN
kinshukdua/LiveActionMap
An attempt to map the areas with active conflict in Ukraine using twitter data and NLP.
PyPatel/Sentiment-Analysis-for-Trading
Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS