├── Basic Perceptron.py ├── Deep Learning ├── Activation Functions │ ├── .gitkeep │ └── activationfunctions.py ├── Loss │ ├── .gitkeep │ └── loss.py ├── cuda.py └── readme.md ├── Lemmatization.py ├── Projects ├── .gitkeep ├── Covid_tweets Sentiment Analysis │ ├── Corona_NLP text classification.ipynb │ ├── data.zip │ └── readme.md ├── Daily News for Stock Market Prediction │ ├── README.md │ └── Stock Prediction using News Headlines.ipynb ├── Fake News Detection │ ├── Fake News.ipynb │ └── readme.md ├── IMDB Movie Reviews │ ├── BoW using Pytorch.ipynb │ └── readme.md ├── Spam-Ham Classification │ ├── .gitkeep │ ├── HashVectorizer.py │ ├── bagofwords_classifier.py │ ├── passive_aggresiveClassifier.py │ └── readme.md ├── Tweet Sentiment Extraction │ └── readme.md ├── Twitter Sentiment Analysis(Beginners) │ ├── Twitter Sentiment Analysis (Small Dataset).ipynb │ └── readme.md ├── Women's E-Commerce Clothing Reviews │ └── readme.md └── Yelp Reviews │ ├── Yelp Reviews.ipynb │ └── readme.md ├── README.md ├── Regular Expression ├── .gitkeep └── Regular Expression.ipynb ├── bagofwords.py ├── chinking.py ├── chunking.py ├── cuda.py ├── nameEntity_recog.py ├── speech_tagging.py ├── stemming_demo.py ├── stopwords_demo.py ├── tf-idf.py ├── tokenize.py └── word2vec.py /Basic Perceptron.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bhav09/NLP-Basics/HEAD/Basic Perceptron.py -------------------------------------------------------------------------------- /Deep Learning/Activation Functions/.gitkeep: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /Deep Learning/Activation Functions/activationfunctions.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bhav09/NLP-Basics/HEAD/Deep Learning/Activation 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