GitHub topics: tweet-classification
elequaranta/Twitter-Sentiment-Analysis
Final project for class Data Mining and Text Mining; University of Illinois at Chicago (Fall 2023); 1st year of Master's Degree in Computer Science coursework.
Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

firojalam/multimodal_social_media
multimodal social media content (text, image) classification
Language: Python - Size: 3.54 MB - Last synced at: 22 days ago - Pushed at: almost 3 years ago - Stars: 50 - Forks: 14

Wazzabeee/pyspark-etl-twitter
Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake
Language: Python - Size: 3.37 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 16 - Forks: 4

nachiket273/Tweet_Classification_Huggingface_Wandb
Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.
Language: Python - Size: 44.9 KB - Last synced at: 14 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Subrata15/Text-Classification-from-KRL-Commuter-Line-User-Tweet
Using Pandas, Pickle, ReGex, Tweepy, Scikit-Learn, Sastrawi. NLTK, and bs4
Language: Python - Size: 836 KB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

SiavashShams/Contextual-Embeddings-Using-HateBert-and-RNNs
We aim to clasify tweets based on three categories 0: hate, 1: offensive, 2: neutral. For this purpose we use HateBert pretrained model with RNNs as the trainable layers
Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mmuzammil196/french-game-tweets-toxicity-detection
Welcome to our project, where we leverage advanced sentiment analysis techniques to detect and classify toxic content in game-related tweets. Our goal is to develop a predictive model that can accurately identify toxicity based on the language used in these tweets.
Language: Jupyter Notebook - Size: 796 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

HarshKothari21/Natural-Language-Processing-Specialization
NLP Course By Deep learning.io powered by @coursera. Taught by: Younes Bensouda Mourri, Instructor of AI at Stanford University and Łukasz Kaiser, Staff Research Scientist at Google Brain.
Language: Jupyter Notebook - Size: 397 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

AliiPmD/NLP_DisasterTweets
Predict which Tweets are about real disasters and which ones are not
Language: Jupyter Notebook - Size: 211 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NisanurBulut/NLP_Tweet_IDentify
Tweet Text Writer Recognition Application
Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: 26 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

stefanrmmr/kaggle_twitter_airline_sentiment
Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr
Language: Python - Size: 187 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

umbertocollodel/Machine_Learning_in_Economics
Treatment evaluation in presence of large number of covariates or treatment heterogeneity through Machine Learning methods
Language: R - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

HoshAI/TweetsClassification
Exploring Jaccard-similarities technique on tweets then visualizing its output using k means and k means with pca. Additional input on time series analysis, web scrapping and twitter Scrapping.
Language: Jupyter Notebook - Size: 578 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Abuzariii/NLP-Multi-Class-Text-Classification-
EDA and Modeling Attempt for multi class text classification.
Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

kaiyoo/NLP-Tweet-classification
Classify whether a tweet constitutes a rumour event
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

GioFic95/Tweet-classification
ML model to extract the main concept from a tweet trained on a dataset built with Babelnet and Babelfy.
Language: Python - Size: 7.33 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

victor7246/WNUT-2020-Task-2
System developed by team datamafia in WNUT 2020 Task 2: Identification of informative COVID-19 English Tweets
Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

HermawanHermawan/tweet-classification
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ENEmyr/BeneficialTweetCOVID-19
Build a classifier that can extract a useful tweet among a ton of tweets during COVID-19 epidemic.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
