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A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach

  • Pradeepthi Nimirthi
  • P. Venkata KrishnaEmail author
  • Mohammad S. Obaidat
  • V. Saritha
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

Sentiment analysis which is also known as opinion mining, can detect the contextual polarity of textual data. It classifies whether a given text is positive, negative or neutral. Performing Sentiment analysis with extracted micro-blogging text from social networking sites and analyzing the text after application of sentiment analysis are considered challenging tasks. This paper proposes a model based on deep learning approach to perform sentiment analysis on extracted agriculture tweets from twitter. Moreover, it focuses on the accuracy and performance of the training data set so that it is used to predict the sentiment rate of the tested (twitter) data.

Keywords

Sentiment analysis Micro-blogging Deep learning Twitter Predict 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pradeepthi Nimirthi
    • 1
  • P. Venkata Krishna
    • 2
    • 3
    Email author
  • Mohammad S. Obaidat
    • 4
  • V. Saritha
    • 4
  1. 1.Department of Computer ScienceSri Padmavati Mahila VisvavidyalayamTirupatiIndia
  2. 2.Department of ECENazarbayev UniversityAstanaKazakhstan
  3. 3.King Abdullah II School of Information Technology (KASIT)University of JordanAmmanJordan
  4. 4.Department of Computer Science and EngineeringSri Padmavati Mahila VisvavidyalayamTirupatiIndia

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