Title:
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SENTIMENT SCORES OF SENTIMENT KEYWORDS:
ANALYSIS OF HOTEL REVIEW DATA |
Author(s):
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Ye-Seul Jeon, Eun-Young Jang and Hwan-Seok Jang |
ISBN:
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978-989-8533-92-0 |
Editors:
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Ajith P. Abraham and Jörg Roth |
Year:
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2019 |
Edition:
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Single |
Keywords:
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Sentiment Analysis, Ridge Regression, Label Propagation, Review Analysis, k -Nearest Neighbor |
Type:
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Poster |
First Page:
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233 |
Last Page:
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235 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Utilizing hotel review data by analyzing specific keywords as either being positive or negative, it is possible to aid
consumers in selecting a suitable hotel. For this purpose, we propose creating a Sentiment Score of each Sentiment Keyword.
We first construct a Sentiment Lexicon by extracting Sentiment Keywords by natural language processing. Afterward, we
formulate a coefficient between the Sentiment Keyword and the evaluation score through ridge regression. The coefficient
is then normalized to arrive at the cumulative probability of normal distribution, ultimately employed as the Sentiment
Score of the specific Sentiment Keyword. However, if the coefficient is considered to be insignificant, the Sentiment Score
is replaced by the probability of the Sentiment Keyword as either being positive or negative by using label propagation
with the k-Nearest Neighbor (k-NN) classifier. The data analyzed is focused on South Korean hotel reservation websites. |
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