There are 2 repositories under textclassification topic.
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Portfolio in Python
Short Text Classification with Deep Neural Networks: An Experimental Analysis
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
TextSentimentClassification, using tensorflow.
Finding a Artists Style
TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.
Kesci公众健康问句分类 决赛第8名解决方案
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.
This is a toy implementation of RNNText on zhihu tag classification dataset.
Several methods to solve text classification problems
Naive Bayes algorithm for multi-category text classification.
Apply CNN-LSTM model on multi-class text classification task.
Twitter sentiment analysis for 2019 Canadian Elections using Natural Language Processing.
Implemented a Research paper "PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts. Use Hybrid Embedding (char + token + positional).
Text Classifier App for iOS, powered by Apple Vision & CreateML framework
📚🧠🌐 Welcome to TextAIHub repository! Explore the fascinating realm of NLP, text generation, sentiment analysis, and beyond. Join us in propelling language understanding to new frontiers through state-of-the-art AI models and advanced techniques. Together, let's ignite a revolution in text processing! 🚀💬🌍
Comparing four different Deep Learning and machine Learning Algorithms to build a Spam Detector to identify unsolicited and unwanted emails. Exploring the process of classifying emails as spam or not spam by converting text data(emails) into vectors and Evaluate their performance
This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk
Classify whether a tweet constitutes a rumour event
Sentimental Analysis/Natural Language Processing in Python
NLP starter kit
Source code for Is this fake news! 🔥
Text Classification Competition for Sarcasm Detection in Tweets using BERT model
Text classification using NLP with Sequential model developed on LSTM architecture utilizing Embedding and Tokenizer
An NLP task to predict Cuisine from recipe data, visualize cuisine distribution, train MNB, XGBoost, CNN, and Random Forest models for cuisine prediction, and evaluate performance with accuracy, confusion matrix, and classification report.