Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application
نویسندگان
چکیده
The present research exploits the large amount of linguistic resources developed into the Lexicon-grammar paradigm in the domain of the Opinion Mining. Grounded on the Semantic Predicates theory, the proposed system is able to automatically match the syntactic structures selected by special classes of verbs, indicating positive or negative Sentiment, Opinion or Physical acts, with the semantic frames evoked by the same lexical items. This methods has been tested on a large dataset composed of short texts, such as tweets and news headings.
منابع مشابه
Feature extraction in opinion mining through Persian reviews
Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...
متن کاملMining Opinion Polarity Relations of Citations
Opinion mining has been receiving increasing attention recently, and various approaches have been suggested for mining sentiment information, such as mining attitudes or opinions about a topic or product etc. However, as far as we know, little work has been reported on citation opinion mining (COM). By COM, we refer to the process of identifying authors opinions towards the works they cite, suc...
متن کاملConversion of Lexicon - Grammar tables to LMF : application to French 1
In this chapter, we describe the first experiment of conversion of Lexicon-Grammar tables for French verbs into the LMF format. The Lexicon-Grammar of the French language is currently one of the major sources of lexical and syntactic information for French. Its conversion into an interoperable representation format according to the LMF standard makes it usable in different contexts, thus contri...
متن کاملConstructing Thai Opinion Mining Resource: A Case Study on Hotel Reviews
Opinion mining and sentiment analysis has recently gained increasing attention among the NLP community. Opinion mining is considered a domaindependent task. Constructing lexicons for different domains is labor intensive. In this paper, we propose a framework for constructing Thai language resource for feature-based opinion mining. The feature-based opinion mining essentially relies on the use o...
متن کاملA verb lexicon model for deep sentiment analysis and opinion mining applications
This paper presents a lexicon model for subjectivity description of Dutch verbs that offers a framework for the development of sentiment analysis and opinion mining applications based on a deep syntactic-semantic approach. The model aims to describe the detailed subjectivity relations that exist between the participants of the verbs, expressing multiple attitudes for each verb sense. Validation...
متن کامل