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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (2): 87-95    DOI: 10.11925/infotech.2096-3467.2017.02.12
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A Sentiment Analysis Model Based on Temporal Characteristics of Travel Blogs
Cheng Cuiqiong, Xu Jian()
School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China
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[Objective] This study aims to find the temporal-distribution patterns of tourists’ attitudes towards their destinations through sentiment analysis of travel blogs. [Context] More and more tourists collect information on their destinations from travel blogs, which provide enormous business opportunities. [Methods] We proposed a sentiment analysis model based on temporal characteristics of travel blogs. It includes the following modules: data collection, preprocessing, identifying sentiment words, weight calculation, and analysis. The model was examined with four types of travel blogs. [Results] The number of post with “good” emotion was always higher than others each month. The volatility of “good”, “happiness” and “disgust” emotion was the highest in different months. The volatility emotion over time was not correlated to the number of related travel blogs. There is no relationship between the peak/off seasons and the emotion of tourists. [Conclusions] The proposed model could identify the changing of tourist sentiment over time, which provides new information for tourism managers and potential visitors.

Key wordsTravel Blogs      Sentiment Analysis      Sentiment Lexicon      Temporal Characteristics     
Received: 07 October 2016      Published: 27 March 2017
ZTFLH:  G350  

Cite this article:

Cheng Cuiqiong,Xu Jian. A Sentiment Analysis Model Based on Temporal Characteristics of Travel Blogs. Data Analysis and Knowledge Discovery, 2017, 1(2): 87-95.

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