This paper presents partial results of a research project that aims to create a process of sentiment analysis based on ontologies in the automobile domain and then to develop a prototype. The process aims at making a social media analysis, identifying feelings and opinions about brands and vehicle parts. The method that guided the development process involves the construction of ontologies and ...

Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of application by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment a...

Sentiment analysis has become a wellestablished task in Natural Language Processing. As such, a high variety of methods have been proposed to tackle it, for different types of texts, text levels, languages, domains and formality levels. Although state-of-theart systems have obtained promising results, a big challenge that still remains is to port the systems to the “real world” – i.e. to implem...

SentiWordNet is an important lexical resource supporting sentiment analysis in opinion mining applications. In this paper, we propose a novel approach to construct a Vietnamese SentiWordNet (VSWN). SentiWordNet is typically generated from WordNet in which each synset has numerical scores to indicate its opinion polarities. Many previous studies obtained these scores by applying a machine learni...

The object of the study is actual socionyms functioning in Russian-language Internet communication 2000-2022. They reflect identities, characteristics that become basis for delimitation social space society. analysis includes semantic, motivological, word-formation socionyms, characterization their usage, including usage semantic formulas correlated with dictionary identity / dictionary, determ...

In Physics Higher Education (PHE), Student Evaluation of Teaching (SET) surveys are widely used to collect students’ feedback on courses and instructions. our research, we propose a more efficient way summarize free responses from the Assessment their Learning Gains (SALG) survey [1], form SET survey, an algebra-based introductory physics course at large Canadian research university. Specifical...

Abstract This work describes and illustrates a free easy-to-use online text-analysis tool for understanding how consumer word use varies across contexts. The tool, Wordify, uses randomized logistic regression (RLR) to identify the words that best discriminate texts drawn from different pre-classified corpora, such as posts written by men versus women, or containing mostly negative positive vale...

bilingual dictionary use in l2 writing test performance has recently been the subject of debate. opinions differ according to how the trait is understood and whether the system favors the process-oriented or product-oriented views towards the assessment and writing skill. given the need for more empirical support, this study is aimed at investigating the availability of bilingual dictionary use...

Recently, a huge amount of online consumer reviews (OCRs) is being generated through social media, web contents, and microblogs. This scale big data cannot be handled by traditional methods. Sentiment analysis (SA) or opinion mining emerging as powerful efficient tool in analytics improving decision making. research paper introduces novel method that integrates neutrosophic set (NS) theory into...

Opinion mining deals with determining of the sentiment orientation—positive, negative, or neutral—of a (short) text. Recently, it has attracted great interest both in academia and in industry due to its useful potential applications. One of the most promising applications is analysis of opinions in social networks. In this paper, we examine how classifiers work while doing opinion mining over S...