ruanchaves/hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

Language: Python - Size: 23.6 MB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 70 - Forks: 5

MohamedHmini/tweetsOLAPing

implementing an end-to-end tweets ETL/Analysis pipeline.

Language: Python - Size: 5.99 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 57 - Forks: 6

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.

Language: Jupyter Notebook - Size: 525 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 9

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

Language: Jupyter Notebook - Size: 875 KB - Last synced at: 24 days ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 4

Wazzabeee/NLP_Unsupervised_Sentiment_Analysis_Elon_Musk

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 5

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.

Language: Python - Size: 7.61 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 2

abeermohamed1/Tweets-Sentiment-Analysis

Tweets Sentiment Analysis Project to classify the the polarity of tweets either as ‘Positive’, ‘Negative’, and ‘Neutral' with high accuracy

Language: Python - Size: 1.38 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

sauravjoshi23/SiameseNet-Loss

Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 2

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.

Language: Python - Size: 27 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

abhishek9sharma/TwitterAnalysis

Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques

Language: Jupyter Notebook - Size: 979 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 4

adam-aalah/Tweet-Sentiment-Classification

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

adnaneaabbar/TweetsBinaryClassification

Kaggle NLP warm up.

Language: Jupyter Notebook - Size: 5.18 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

ro-per/Classification-Tweets

Sentiment analysis of tweets using machine learning

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

Ayushi1011/Financialtweets

Sentiment Analysis On Financial Tweets

Language: HTML - Size: 4.06 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

mareloraby/Sentiment-Arcs

This repository presents my bachelor project titled "Mapping and Tracking Sentiment Arcs in Social Media Streams"

Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 2

JacopoRaffi/EXIST2024_Medusa

Human Language Technologies (HLT) project. Computer Science Master Degree, University of Pisa. A.Y 2023/2024

Language: Jupyter Notebook - Size: 361 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

swati-rajwal/BreastCancer_tweets_project

Submission for CL4HEALTH @ LREC-COLING 2024

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

cristinaa211/Tweets-Topic-Labelling

This projects contains a nlp pipeline for topic labelling with BERTopic

Language: Python - Size: 25.4 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ranUser01/Sentiment-and-Hate-Speech-detection-Twitter

Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

rafi-fauzan/Corona_Tweets_BiLSTM

Corona Tweets Sentiment Classification with BiLSTM

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

pratikkumar-jain/Twitter-Mining Fork of ankit13jain/Twitter-Mining

Language: Python - Size: 5.52 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

PLN-disca-iimas/obstetric-violence-tweets

Classifying Obstetric Violence in Mexican-Spanish Tweets

Language: HTML - Size: 734 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

C-bianc/tweets-classifier-task

Analysis of French political orientation on Twitter using text classification

Language: Python - Size: 7.12 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Saba-Gul/Corona-Tweet-Sentiment-Classification

This project aims to classify the sentiment of tweets related to the coronavirus pandemic.

Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kadambari68/Tweets-Analyser

Classification Report Sentiment Analysis and Trend Analysis

Language: Python - Size: 212 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

StephanAkkerman/chart-recognizer

Image recognition model made to recognize financial charts from social media sources.

Language: Python - Size: 589 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

LinggarM/Covid-19-Tweets-Classification

Classification of Covid-19 Tweets using Multinomial Naive Bayes and TF-IDF Vectorizer to categorize tweets about Covid-19 into three main classes

Language: Jupyter Notebook - Size: 523 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

ancamariac/Twinvest

Web application for financial data analysis, based on a machine learning classification model for news and social media posts, enabling price predictions

Language: JavaScript - Size: 147 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jpcadena/tweets-classification-frontend

Frontend project for the Classification Tweets project

Language: TypeScript - Size: 718 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

aandyrea/master-thesis

This repository contains code needed to replicate the master thesis study, "Refugees Welcome? A comparative sentiment analysis of tweets in Germany surrounding inflows of Syrians and Ukrainians", by Andrea Cass

Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Daniel-EST/political-bias

A Transformers-based model that classifies the political bias of Brazilian Portuguese tweets as either conservative, liberal, or neutral.

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 177 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

karengarm/NLP_Disaster_Tweets_Classification

Code for the project "NLP for Classification of Tweets During Crisis-Events". CS230 Deep Learning, Stanford University.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

johnnytorres/toxicitydetector

Offensive Tweets Identification using Convolutional Neural Networks

Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

leyresv/Sentiment_Analysis

Sentiment analysis of tweets using a Logistic Regression Model

Language: Python - Size: 258 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

D-kn/Sentiment-analysis-on-Coronavirus-tweets

A project about Sentiment analysis on Corona tweets

Language: Jupyter Notebook - Size: 6.71 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

raksh543/Profiling-Hate-Speech-Spreaders-on-Twitter

Research paper published in CLEF Working Notes 2021 - http://ceur-ws.org/Vol-2936/paper-175.pdf

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

SriSwathi25/RankingTopColleges

Language: Jupyter Notebook - Size: 112 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Rutatu/cds-language_Self_assigned_project

This is self-assigned project for the language analytics class at Aarhus University, 2021.

Language: Python - Size: 541 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

subhamyadav580/Predicting-Viral-Tweets

To predict the tweet whether it goes viral or not

Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

rafi-fauzan/Corona_Tweets_BERT

Corona Tweets Sentiment Classification with BERT

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

olha-kaminska/nlp_project

Final project for "Natural Language Processing" course at University of Tartu. December 2017.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

wikiabhi/Twitter-Sentiment-Analysis

Analysis of sentiments from tweets.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 3

ITE-5th/tweets-classification

Language: Python - Size: 29.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0