An open API service providing repository metadata for many open source software ecosystems.

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

Related Keywords
tweet-classification 19 nlp 6 sentiment-analysis 6 text-classification 6 machine-learning 6 python 5 twitter 4 tweet-analysis 4 tweet-sentiment-analysis 3 tweepy 3 natural-language-processing 3 twitter-sentiment-analysis 2 kaggle 2 kaggle-competition 2 classification 2 deep-learning 2 pca 2 nlp-machine-learning 2 sentiment-classification 2 document-search 1 language-translation 1 text-sentiment-classification 1 skipgram 1 lstm-neural-networks 1 kaggle-us-airlines 1 kaggle-sentiment-analysis 1 kaggle-airline-dataset 1 data-science 1 tweet-data 1 pthon 1 nlp-data-to-text 1 jupyter-notebook 1 lsh 1 text-processing 1 word-embeddings 1 kaggle-solution 1 kaggle-dataset 1 thai-nlp 1 vectorization 1 naive-bayes 1 linear-svc 1 transformers 1 roberta 1 regularization-methods 1 language-model 1 huggingface-transformers 1 binary-classification 1 social 1 politics 1 elections 1 babelnet 1 babelfy 1 tweet-text-classification 1 textclassification 1 naive-bayes-classifier 1 maxmatch 1 max-match 1 logistic-regression 1 kmeans 1 jaccard-similarity 1 beautifulsoup 1 causal-machine-learning 1 causal-inference 1 word2vec 1 us-airline-dataset 1 kafka-streams 1 kafka-producer 1 kafka-consumer 1 kafka 1 etl-process 1 etl-pipeline 1 etl 1 docker 1 delta-lake 1 social-media 1 multimodality 1 multimodal-deep-learning 1 keras-tensorflow 1 image-processing 1 image-classification 1 disaster-response 1 crisis-informatics 1 crisis-computing 1 cnn-classification 1 huggingface-models 1 fine-tuning-nlp 1 fine-tuning-bert 1 bert-model 1 bert 1 wordcloud 1 statistical-analysis 1 machine-learning-algorithms 1 javascript 1 html 1 datascience 1 css 1 advancedanalytics 1 t5-model 1 hatebert 1 hate-speech-detection 1