User-generated texts such as reviews, discussions or comments are valuable indicators of users' preferences. Apart from binary classification (positive or negative) of the reviews, some researchers calculated polarity scores that give a very concise summary and provide more information of the reviews. In this paper, a system for assigning polarity scores to Facebook Myanmar movie comments is proposed. Myanmar is a language with underdeveloped electric resources. As this is pioneering work for this combination of language and sentiment analysis, the polarity scores of each positive and negative word in the movie domain-specific polarity lexicon is calculated. And then the polarity scores to each comment of the plain text movie corpus are assigned. The proposed system achieves 89% and 85% accuracy on positive and negative opinion words respectively in the evaluation of polarity score lexicon. We also make the comment polarity for 3-class evaluation and 5-class evaluation based on the scores of comments.
General TermsSentiment analysis
Searching relationship among persons is more and more growing importance to acquire related information, genealogical relationship and personnel history. In this paper, the framework with three portions is proposed for exploring peoples' relationship from their personnel information. The first portion focuses on storage structure to store data in Graph database by representing persons as nodes and their attributes as properties. There are no predefined relationships or edges between person nodes in this system. The second part focuses on searching relationships among separated person nodes. Graph database searching algorithm called Personnel Relationship Searching Algorithm is proposed. The last portion proposes Deductive Reasoning Algorithm to define two persons' relationship based on search results of match domain (or) attributes using predefined prolog rules. For example, if the match domain is relatives, the relation may be consanguine, such as GrandFather, Eldest_Son, Youngest_Son_In_Law, Khame_Khamet, etc. If the match domain is organization (or) hobby (or) religion, the relation may work in same organization, etc. The time complexity for two proposed algorithms is calculated to evaluate the running time for each case study.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.