lijqhs/text-classification-cn
ไธญๆๆๆฌๅ็ฑปๅฎ่ทต๏ผๅบไบๆ็ๆฐ้ป่ฏญๆๅบ๏ผ้็จไผ ็ปๆบๅจๅญฆไน ๆนๆณไปฅๅ้ข่ฎญ็ปๆจกๅ็ญๆนๆณ
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
$ git clone https://github.com/30lm32/ml-projects.gitไธญๆๆๆฌๅ็ฑปๅฎ่ทต๏ผๅบไบๆ็ๆฐ้ป่ฏญๆๅบ๏ผ้็จไผ ็ปๆบๅจๅญฆไน ๆนๆณไปฅๅ้ข่ฎญ็ปๆจกๅ็ญๆนๆณ
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
A collection of Natural language processing pre-trained models.
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Data from GitHub ยท snapshot Sep 24, 2026