Naive Bayes The multinomial Naive Bayes model on a dictionary is a familiar option for text classification, e.g. (Gale, Church, & Yarowski 1992), (McCallum & Nigam 1998). When there are additional features, the Naive Bayes model has also a natural extension: We simply assume that each additional feature is independent of all the others, conditional upon . In this case, we invert Bayes’ Law by o...

Introduction. Suicide has become a serious worldwide epidemic. Early detection of individual suicide risk in population is important for reducing suicide rates. Traditional methods are ineffective in identifying suicide risk in time, suggesting a need for novel techniques. This paper proposes to detect suicide risk on social media using a Chinese suicide dictionary. Methods. To build the Chines...

Purpose Despite a significant focus on customer evaluation and sentiment analysis, limited attention has been paid to discrete emotional perspective in terms of the emotionality used text. This paper aims extend general-sentiment dictionary Chinese restaurant-domain-specific dictionary, visualize spatiotemporal trends, identify main emotions that affect customers’ ratings restaurant setting con...

ABSTRACT One of the central problems of opinion mining is to extract aspects of entities or topics that have been evaluated in an opinion sentence or document. Much of the existing research focused on extracting explicit aspects which are nouns and nouns phrases that have ap‐ peared in sentences, e.g., price in The price of this bike is very high. (owever, in many cas‐ es, people do not explici...

We explore the adaptation of English resources and techniques for text sentiment analysis to a new language, Spanish. Our main focus is the modification of an existing English semantic orientation calculator and the building of dictionaries; however we also compare alternate approaches, including machine translation and Support Vector Machine classification. The results indicate that, although ...

Technology influences various things in people's lives, ranging from socialization to shopping behaviour, and hence marketplace inevitably appears as a part of e-commerce concepts. Opinions related activities are thus interesting for further research. This paper investigates the appropriate methods analyzing customer satisfaction. The research was conducted by compiling aspects satisfaction the...

Due to the social and economic fallout from COVID-19 pandemic, we sought gauge attitudes of network users, in this case, Twitter, towards topic using a sentiment analysis approach. We collected 178,683 tweets Twitter API based on queries for high-frequency hashtag #covid19. After preprocessing step, classified them binary way (positive negative) according their intensity (valence) VADER model t...

In this paper we present our solution for obtaining sentiment at message-level of short sentences. The system combines the use of polarity dictionaries and Conditional Random Fields to obtain syntactic and semantic features, which are afterwards fed to a statistical classifier in order to obtain the sentence polarity. To improve results, an ensemble of classifiers was employed by combining the ...

Most of Japanese slang words such as Wakamono Kotoba are analyzed as “unknown word” or segmented wrongly by the morphological analysis system. These problems are causing negative effect on sentiment analysis in text. These words generally have many varieties of notations and conjugations, and they lack versatility. As a result, many of them are not registered in the dictionaries, making morphol...