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MeasureOP: Sentiment Analysis of Movies Text Data

  • Prabhdeep Kaur Bhullar
  • Chary Vielma
  • Doina BeinEmail author
  • Vlad Popa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 800)

Abstract

Sentiment analysis is a series of methods, techniques, and tools about detecting and extracting subjective information, such as opinion and attitudes, from language. The goal of our project was to classify movies’ reviews, by analyzing the polarity (positive or negative) of each paragraph in a review (Cui et al., Neurocomputing 187:126–132, 2016). We experimented with various RNN models on the Nervana Neon deep learning framework, an open-source framework developed by Nervana Systems, in order to improve accuracy in training and validation data. We experimented with network architecture, hyper parameters (batch size, number of epochs, learning rate, batch normalization, depth, vocabulary size) in order to find out which model works best for sentiment classification. This paper presents our findings and conclusions.

Keywords

Sentiment analysis Nervana Neon 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Prabhdeep Kaur Bhullar
    • 1
  • Chary Vielma
    • 1
  • Doina Bein
    • 1
    Email author
  • Vlad Popa
    • 2
  1. 1.Department of Computer ScienceCalifornia State University, FullertonFullertonUSA
  2. 2.Liceul Tehnologic Petru PoniIașiRomania

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