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A SENTIMENT BASED AUTOMATIC QUESTION-ANSWERING FRAMEWORK

With the rapid growth and maturity of Question-Answering (QA) domain, non-factoid Question-Answering tasks are in high demand. However, existing Question-Answering systems are either fact-based, or highly keyword related and hard-coded. Moreover, if QA is to become more personable, sentiment of the question and answer should be taken into account. However, there is not much research done in the field of non-factoid Question-Answering systems based on sentiment analysis, that would enable a system to retrieve answers in a more emotionally intelligent way. This study investigates to what extent could prediction of the best answer be improved by adding an extended representation of sentiment information into non-factoid Question-Answering.

  1. 10.25394/pgs.8044700.v1
Identiferoai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8044700
Date14 May 2019
CreatorsQiaofei Ye (6636317)
Source SetsPurdue University
Detected LanguageEnglish
TypeText, Thesis
RightsCC BY 4.0
Relationhttps://figshare.com/articles/A_SENTIMENT_BASED_AUTOMATIC_QUESTION-ANSWERING_FRAMEWORK/8044700

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