What we really want to find by Sentiment Analysis: The Relationship between Computational Models and Psychological State

by   Hwiyeol Jo, et al.

As the first step to model emotional state of a person, we build sentiment analysis models with existing deep neural network algorithms and compare the models with psychological measurements to enlighten the relationship. In the experiments, we first examined psychological state of 64 participants and asked them to summarize the story of a book, Chronicle of a Death Foretold (Marquez, 1981). Secondly, we trained models using crawled 365,802 movie review data; then we evaluated participants' summaries using the pretrained model as a concept of transfer learning. With the background that emotion affects on memories, we investigated the relationship between the evaluation score of the summaries from computational models and the examined psychological measurements. The result shows that although CNN performed the best among other deep neural network algorithms (LSTM, GRU), its results are not related to the psychological state. Rather, GRU shows more explainable results depending on the psychological state. The contribution of this paper can be summarized as follows: (1) we enlighten the relationship between computational models and psychological measurements. (2) we suggest this framework as objective methods to evaluate the emotion; the real sentiment analysis of a person.


page 1

page 2

page 3

page 4


Psychological State in Text: A Limitation of Sentiment Analysis

Starting with the idea that sentiment analysis models should be able to ...

Re-presenting a Story by Emotional Factors using Sentimental Analysis Method

Remembering an event is affected by personal emotional status. We examin...

Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish

This work investigates segmentation approaches for sentiment analysis on...

Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis

In this work, we investigate the presence of occupational gender stereot...

Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention

Sentiment Analysis typically refers to using natural language processing...

ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis

Interactive sentiment analysis is an emerging, yet challenging, subtask ...

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification

In this paper we present our approach to tackle the Implicit Emotion Sha...

Please sign up or login with your details

Forgot password? Click here to reset