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Emotion classification

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πŸ’Ό Case study

Requirement

Based on short passages from users, perform analysis and classification to identify user emotions expressed in that passage.

Application

  • Emotion classification in customer feedback.
  • Emotion analysis in social networks.
  • Support in news classification.
  • etc..

πŸ“ Data set

I have made a project based on 3 short text datasets available from savan77

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  • Id column: Index of record
  • text column: Short texts of users
  • 12 emotion columns in one-hot encoder base (1 : That short texts show this emotion and 0: That short texts doesn't show this emotion)

πŸ”Ž Analysis

Click here and wait a few seconds

Methods apply

  • Data cleanning
  • Data Preproccessing
  • Model - pretrained from Tensorflow(hub)
  • Model evaluation

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