Фильмдерге шолулар

This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not rec- ommended (thumbs down). The classifi- cation of a review is predicted by …...

Recent studies of sentiment classification (determining whether a text is “positive” or “negative”) using Appraisal theory have provided mixed results. While some good results have been obtained, it is difficult …...

We describe a novel language-independent ap- proach to the task of determining the polarity, positive or negative, of the author’s opinion on a specific topic in natural language text. In …...

Community created content (e.g., product de- scriptions, reviews) typically discusses one entity at a time and it can be hard as well as time consuming for a user to compare …...

Predicting emotion categories (e.g. anger, joy, sadness) expressed by a sentence is challenging due to inherent multi-label smaller pieces such as phrases and clauses. To date, emotion has been studied …...

AbstractThe goal of this paper is to use all available Polish language data sets to seek the best possible performance in supervised sentiment analysis of short texts. We use text …...

AbstractA major issue with using deep learning models in sensitive applications is that they provide no explanation for their output. To address this problem, unsupervised selective rationalization produces rationales alongside …...