Аннотация
Purpose
– To evaluate and extend, existing natural language processing techniques into the domain of informal online political discussions.
Design/methodology/approach
– A database of postings from a US political discussion site was collected, along with self‐reported political orientation data for the users. A variety of sentiment analysis, text classification, and social network analysis methods were applied to the postings and evaluated against the users' self‐descriptions.
Findings
– Purely text‐based methods performed poorly, but could be improved using techniques which took into account the users' position in the online community.
Research limitations/implications
– The techniques we applied here are fairly simple, and more sophisticated learning algorithms may yield better results for text‐based classification.
Practical implications
– This work suggests that social network analysis is an important tool for performing natural language processing tasks with informal web texts.
Originality/value
– This research extends sentiment analysis to a new subject domain (US politics) and a new text genre (informal online discusssions).
Пользователи данного ресурса
Пожалуйста,
войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)