GitHub - Rohan25096/end2end_NLP: An end to end NLP projet for detecting emotions in sentences. Use of Tokenization methods, Sequences, Paddings and Embeddings. The main layer used here is an LSTM(Long Short Term Memory) which takes input sentences in form of sequences, preprocessed on based of the vocabulary and then predicts the class of emotion the sentence belongs to.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
artifacts		artifacts
logs		logs
notebooks		notebooks
src		src
templates		templates
app.py		app.py
requirements.txt		requirements.txt
setup.py		setup.py
test.csv		test.csv
test_enviornment.py		test_enviornment.py
train.csv		train.csv
validation.csv		validation.csv

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An end to end NLP projet for detecting emotions in sentences. Use of Tokenization methods, Sequences, Paddings and Embeddings. The main layer used here is an LSTM(Long Short Term Memory) which takes input sentences in form of sequences, preprocessed on based of the vocabulary and then predicts the class of emotion the sentence belongs to.