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Twitter_Sentiment_Analysis

Libraries and API's

  • Keras
  • Scikit Learn
  • Pandas
  • MatplotLib
  • Beautiful Soup

Datasets

Info

  • The dataset contains 1600000 rows with 6 coulmns
  • Dropped unwanted columns,Preprocessed Sentences from the dataset
  • Used transfer Learning for embedded matrix Glove 100d
  • The model contain a mix of Conv1D,BiDirectional LSTM,Dense Layers followed by Dropout,BatchNormalization layers
  • Achieved ~78% Training accuracy, ~80% Test accuracy(model ran for 5 epochs)
  • Got F1 Score of 0.80

Prepocessing

  • converted unconevrted HTML with BS4
  • Removed usernames,Urls,BOM's
  • Removed #,Numbers
  • Removed StopWords

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Analysis of Twitter sentiment and Prediction with Deep Learning.

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