6533b862fe1ef96bd12c63f4

RESEARCH PRODUCT

Towards a fuzzy-linguistic based social network sentiment-expression system

Valerio PerticoneFrancesco D'aleoGiovanni RizzoMarco Elio Tabacchi

subject

Social networkSettore INF/01 - Informaticabusiness.industryComputer scienceSentiment analysisSettore M-FIL/02 - Logica E Filosofia Della Scienzacomputer.software_genresocial networks sentiment analysis linguis- tic fuzzy Markov chainsExpression (architecture)Fuzzy linguisticArtificial intelligencebusinesscomputerNatural language processing

description

Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.

yearjournalcountryeditionlanguage
2015-01-01
http://hdl.handle.net/10447/139572