NLP with Bangla: Generating Text and Sentiment Analysis

 By datasciencecentral - 2021-03-18

Description

In this blog post, I shall discuss on a few NLP techniques with Bangla language, demonstrate how to train a word2vec model with Bangla wiki corpus with tensor…

Summary

  • Generating Text and Sentiment Analysis In this blog post, I shall discuss on a few NLP techniques with Bangla language, demonstrate how to train a word2vec model with Bangla wiki corpus with tensorflow, and explore how to visualize the semantic similarity between words using t-SNE.
  • Once done, the article will focus on how to train a character / word LSTM on selected Tagore’s songs to generate songs like Tagore with keras.
  • The following animation shows how the embedding is learnt to preserve the semantic similarity in the 2D-manifold more and more as training proceeds.
  • Let’s first create sentiment analysis dataset by crawling the daily astrological predictions (রাশিফল) page of the online edition of আনন্দবাজার পত্রিকা (e.g., for the year 2013), a leading Bangla newspaper and then manually labeling the sentiment of each of the predictions corresponding to each moon-sign.

 

Topics

  1. NLP (0.34)
  2. Stock (0.07)
  3. Machine_Learning (0.04)

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