MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
All NLP you Need Here. Mu Qian Bao Han 15Ge NLP demoDe pytorchShi Xian (Da Liang Dai Ma Jie Jian Yu Qi Ta Kai Yuan Xiang Mu ,Yuan Xian Shi Zi Ji Wan De ,Hou Lai Gan Cui Ye Kai Yuan Chu Lai )
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Zi Ran Yu Yan Chu Li Xiang Guan Shi Yan Shi Xian some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
Portfolio in Python
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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.
Short Text Classification with Deep Neural Networks: An Experimental Analysis
TextSentimentClassification, using tensorflow.
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.
Finding a Artists Style
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.
KesciGong Zhong Jian Kang Wen Ju Fen Lei Jue Sai Di 8Ming Jie Jue Fang An
Naive Bayes algorithm for multi-category text classification.
Several methods to solve text classification problems
Sentiment on K-12 Learning during COVID-19
This is a toy implementation of RNNText on zhihu tag classification dataset.
High-accuracy Core ML model for sentiment analysis trained on a large-scale dataset. Built with Create ML to classify sentiment for tweets and general text inputs, bypassing Twitter API dependencies.
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