tweet-classification 开源项目推荐（32 个）

firojalam /multimodal_social_media

multimodal social media content (text, image) classification

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

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

victor7246 /WNUT-2020-Task-2

System developed by team datamafia in WNUT 2020 Task 2: Identification of informative COVID-19 English Tweets

NisanurBulut /NLP_Tweet_IDentify

Tweet Text Writer Recognition Application

GioFic95 /Tweet-classification

ML model to extract the main concept from a tweet trained on a dataset built with Babelnet and Babelfy.

nachiket273 /Tweet_Classification_Huggingface_Wandb

Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.

ENEmyr /BeneficialTweetCOVID-19

Build a classifier that can extract a useful tweet among a ton of tweets during COVID-19 epidemic.

umbertocollodel /Machine_Learning_in_Economics

Treatment evaluation in presence of large number of covariates or treatment heterogeneity through Machine Learning methods

annemnvz /tweet_extraction_classification

This is a self-created basic tutorial for the Machine Learning II course at the Language Analysis and Processing master's degree where I show how I retrieve tweets from Twitter App and visualize, cluster and classify data by means of ML techniques and algorithms.

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.

Abuzariii /NLP-Multi-Class-Text-Classification-

EDA and Modeling Attempt for multi class text classification.

Subrata15 /Text-Classification-from-KRL-Commuter-Line-User-Tweet

Using Pandas, Pickle, ReGex, Tweepy, Scikit-Learn, Sastrawi. NLTK, and bs4

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

avikds /Tweet-Emotion-Recognition-Tensorflow

Multiclass tweet emotion recognition using TensorFlow and Bidirectional LSTMs, with text tokenization, sequence padding, and evaluation on the Hugging Face emotion dataset.

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.

kaiyoo /NLP-Tweet-classification

Classify whether a tweet constitutes a rumour event

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.

sakibalfahim /CrisisPulse

Disaster Tweets API - Production-ready BERT-based FastAPI service for classifying tweets as Disaster or Not Disaster, with Docker, CI, and cloud deployment support.

Ravindu-Sampath-Weerakoon /classifying-tweets-RNN_V2

PyTorch implementation of LSTM and Bi-LSTM networks for classifying personal health mentions in Twitter data