Subjectivity Analysis In Opinion Mining - A Systematic Literature Review

Subjectivity analysis determines existence of subjectivity in text using subjective clues.It is the first task in opinion mining process.The difference between subjectivity analysis and polarity determination is the latter process subjective text to determine the orientation as positive or negative.There were many techniques used to solve the problem of segregating subjective and objective text.This paper used systematic literature review (SLR) to compile the undertaking study in subjective analysis.SLR is a literature review that collects multiple and critically analyse multiple studies to answer the research questions.Eight research questions were drawn for this purpose.Information such as technique,corpus,subjective clues representation and performance were extracted from 97 articles known as primary studies.This information was analysed to identify the strengths and weaknesses of the technique,affecting elements to the performance and missing elements from the subjectivity analysis.The SLR has found that majority of the study are using machine learning approach to identify and learn subjective text due to the nature of subjectivity analysis problem that is viewed as classification problem.The performance of this approach outperformed other approaches though currently it is at satisfactory level.Therefore,more studies are needed to improve the performance of subjectivity analysis

Multilingual sentiment analysis in social media.

252 p.This thesis addresses the task of analysing sentiment in messages coming from social media. The ultimate goal was to develop a Sentiment Analysis system for Basque. However, because of the socio-linguistic reality of the Basque language a tool providing only analysis for Basque would not be enough for a real world application. Thus, we set out to develop a multilingual system, including Basque, English, French and Spanish.The thesis addresses the following challenges to build such a system:- Analysing methods for creating Sentiment lexicons, suitable for less resourced languages.- Analysis of social media (specifically Twitter): Tweets pose several challenges in order to understand and extract opinions from such messages. Language identification and microtext normalization are addressed.- Research the state of the art in polarity classification, and develop a supervised classifier that is tested against well known social media benchmarks.- Develop a social media monitor capable of analysing sentiment with respect to specific events, products or organizations

CLIR teknikak baliabide urriko hizkuntzetarako

152 p.Hizkuntza arteko informazioaren berreskurapenerako sistema bat garatxean kontsulta itzultzea da hizkuntzaren mugari aurre egiteko hurbilpenik erabiliena. Kontsulta itzultzeko estrategia arrakastatsuenak itzulpen automatikoko sistem aedo corpus paraleloetan oinarritzen dira, baina baliabide hauek urriak dira baliabide urriko hizkuntzen eszenatokietan. Horrelako egoeretan egokiagoa litzateke eskuragarriago diren baliabideetan oinarritutako komtsulta itzultzeko estrategia bat. Tesi honetan frogatu nahi dugu baliabide nagusi horiek hiztegi elebiduna eta horren osagarri diren corpus konparagarriak eta kontsulta-saioak izan daitezkeela. // Hizkuntza arteko informazioaren berreskurapenerako sistema bat garatxean kontsulta itzultzea da hizkuntzaren mugari aurre egiteko hurbilpenik erabiliena. Kontsulta itzultzeko estrategia arrakastatsuenak itzulpen automatikoko sistem aedo corpus paraleloetan oinarritzen dira, baina baliabide hauek urriak dira baliabide urriko hizkuntzen eszenatokietan. Horrelako egoeretan egokiagoa litzateke eskuragarriago diren baliabideetan oinarritutako komtsulta itzultzeko estrategia bat. Tesi honetan frogatu nahi dugu baliabide nagusi horiek hiztegi elebiduna eta horren osagarri diren corpus konparagarriak eta kontsulta-saioak izan daitezkeela