Naslov
Opinion mining of online product reviews using a lexicon-based algorithm

Autori
Ignacio Martín-Borregón Musso

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
04.07

Godina
2018

Stranica
52

Mentor
Bagić Babac, Marina

Ključne riječi
social networks, operations management, sentiment analysis

Sažetak
The worldwide social media is a rich resource of user- generated data, which can help organizations to formulate their business strategies, or affect the process of decision making in product or service design and implementation. The focus of this thesis is on extraction and analysis of unstructured product reviews for training predictive models, which recognize a specific range of human affective states. These affective states include emotions, moods, opinions, attitudes, as well as continuous dimensions for sentiment characterization, such as valence or intensity. Based on the sentiment analysis, the task is to build a domain-specific sentiment dictionary of English words from the product posts and comments, and to propose and test a lexicon-based algorithm to predict the user opinions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA