tweets-classification
There are 53 repositories under tweets-classification topic.
ruanchaves/hashformers
Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
MohamedHmini/tweetsOLAPing
implementing an end-to-end tweets ETL/Analysis pipeline.
ada-k/TweetsClassification
Exploring Jaccard and Cosine similarities performances then visualising their output using k means and kmeans with pca. Additional input on time series analysis, web scrapping and twitter scrapping.
firojalam/COVID-19-disinformation
Dataset: Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis
This repo contains Big Data Project, its about "Real Time Twitter Sentiment Analysis via Kafka, Spark Streaming, MongoDB and Django Dashboard".
sauravjoshi23/SiameseNet-Loss
Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.
Wazzabeee/NLP_Unsupervised_Sentiment_Analysis_Elon_Musk
Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.
abeermohamed1/Tweets-Sentiment-Analysis
Tweets Sentiment Analysis Project to classify the the polarity of tweets either as ‘Positive’, ‘Negative’, and ‘Neutral' with high accuracy
mtala3t/Identify-the-Sentiments-AV-NLP-Contest
This project is submitted as python implementation in the contest of Analytics Vidhya called "Identify the Sentiments". I enjoyed the joining of this competition and all its process. This submited solution got the rank 118 in the public leaderboard.
abhishek9sharma/TwitterAnalysis
Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques
swati-rajwal/BreastCancer_tweets_project
Submission for CL4HEALTH @ LREC-COLING 2024
xavierfigueroav/twish
Twish is a web application that allows you to host tweets classifiers (Machine Learning-based, rule-based, whatever-based). Once you have set up the app, your users can enter a search term and Twish will collect tweets based on it and classify them using the classifiers you set up.
adnaneaabbar/TweetsBinaryClassification
Kaggle NLP warm up.
Ayushi1011/Financialtweets
Sentiment Analysis On Financial Tweets
ro-per/Classification-Tweets
Sentiment analysis of tweets using machine learning
StephanAkkerman/chart-recognizer
Image recognition model made to recognize financial charts from social media sources.
Ayoub-etoullali/NLP-with-Disaster-Tweets
Utilizing Natural Language Processing (NLP) to analyze and classify tweets for detecting disaster-related content.
cristinaa211/Tweets-Topic-Labelling
This projects contains a nlp pipeline for topic labelling with BERTopic
D-kn/Sentiment-analysis-on-Coronavirus-tweets
A project about Sentiment analysis on Corona tweets
Daniel-EST/political-bias
A Transformers-based model that classifies the political bias of Brazilian Portuguese tweets as either conservative, liberal, or neutral.
JacopoRaffi/EXIST2024_Medusa
Human Language Technologies (HLT) project. Computer Science Master Degree, University of Pisa. A.Y 2023/2024
jpcadena/tweets-classification-frontend
Frontend project for the Classification Tweets project
mareloraby/Sentiment-Arcs
This repository presents my bachelor project titled "Mapping and Tracking Sentiment Arcs in Social Media Streams"
MekhyW/NBayes-Tweet-Classifier
Classification of Minecraft-related tweets according to relevance, utilizing a Naive Bayes approach.
rafi-fauzan/Corona_Tweets_BiLSTM
Corona Tweets Sentiment Classification with BiLSTM
roweyerboat/Twitter_Hashtag_Analysis
This repository is a project looking at tweets that used the #BLM and analyzed the sentiment and words used as well as utilized topic modeling with Latent Semantic Analysis and Latent Dirichlet Allocation to pull out the main themes that are used when the #BLM is used.
MathieuDesponds/ML433-Censored-Tweet-Analysis
Analysis of censored tweets. Undestanding the topics that are censored in different countries using different NLP techniques
MD-Ryhan/Tweet-Emotion-Recognition
In this project, we're going to create a recommend neural network and create it on a tweet emotion data set to learn to recognize emotions in tweets.
NqaaLadadwa/Tweet-Spam-Detection
This machine learning project specifically focuses on detecting spam tweets, and provides a step-by-step guide to building a classifier using three kinds of classifiers: Decision Tree, Naive Bayes, and Logistic Regression.
gowrinand/SENSITIVE-TWEET-CLASSIFICATION-USING-ADVANCED-NLP
This project aims to classify the sudden onset of social media activity specifically tweets which may inadvertently share sensitive information in the time of crisis and also filter the tweets based on its contextual awareness to further enhance rescue efforts by classifying those tweets that are calling for help
kadambari68/Tweets-Analyser
Classification Report Sentiment Analysis and Trend Analysis
Saba-Gul/Corona-Tweet-Sentiment-Classification
This project aims to classify the sentiment of tweets related to the coronavirus pandemic.