mansabshebi's Stars
chrisjmccormick/chrisjmccormick.github.io
My machine learning blog, built on Poole
prateekjoshi565/Fine-Tuning-BERT
YJiangcm/SST-2-sentiment-analysis
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
mlp9/Aspect-based-opinion-mining-NLP-with-Python-
Aspect-Based Opinion Mining involves extracting aspects or features of an entity and figuring out opinions about those aspects. It's a method of text classification that has evolved from sentiment analysis and named entity extraction (NER). ABOM is thus a combination of aspect extraction and opinion mining. While opinions about entities are useful, opinions about aspects of those entities are more granular and insightful.
LowriWilliams/Aspect_Sentiment_Analysis
An investigation into sentiment analysis and topic modelling techniques.
lixin4ever/BERT-E2E-ABSA
[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
alaBay94/Sentiment-analysis-amazon-Products-Reviews
NLP with NLTK for Sentiment analysis amazon Products Reviews
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
mansabshebi/everything-about-support-vector-machine-
sukilau/amazon-sentiment-analysis
Sentiment analysis for Amazon product reviews using Word2Vec and LSTM
linanqiu/word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
makcedward/nlpaug
Data augmentation for NLP
mansabshebi/Sentiment-Analysis-of-Amazon-Kindle-Reviews-