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Polarity inversion based speech watermarking scheme hide data in speech by modification of the speech polarity. This paper build a statistical model of the polarity detection problem, based on this …...

Question answering systems provide an elegant way for people to access an underlying knowledge base. Humans are not only interested in factual questions but also interested in opinions. This paper …...

This paper employs morphological struc- tures and relations between sentence seg- ments for opinion analysis on words and sentences. Chinese words are classified into eight morphological types by two proposed …...

We propose a lightweight method for using discourse relations for polarity detection of tweets. This method is targeted towards the web-based applications that deal with noisy, unstructured text, like the …...

We propose a method for using discourse rela- tions for polarity detection of tweets. We have focused on unstructured and noisy text like tweets on which linguistic tools like parsers …...

A basic task in opinion mining deals with determining the overall polarity orienta- tion of a document about some topic. This has several applications such as detecting consumer opinions in …...

In this paper, the UNITOR system participat- ing in the SemEval-2013 Sentiment Analysis in Twitter task is presented. The polarity de- tection of a tweet is modeled as a classifica- …...

This article describes a strategy based on a naive-bayes classifier for detecting the po- larity of English tweets. The experiments have shown that the best performance is achieved by using …...

AbstractSarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not just automatically but often for humans too. It has an important effect on sentiment, but …...

This paper reports on our participation in SemEval-2015 Task 12, which was devoted to Aspect-Based Sentiment Analysis. Partic- ipants were required to identify the category (entity and attribute), the opinion …...

This paper describes our submissions to the Aspect Based Sentiment Analysis task of SemEval-2016. For Aspect Category Detec- tion (Subtask1/Slot1), we used multiple en- sembles, based on Support Vector Machine …...

AbstractThis paper presents some experiments for specialising Paragraph Vectors, a new technique for creating text fragment (phrase, sentence, paragraph, text, ...) embedding vectors, for text polarity detection. The first extension …...

AbstractWe present a transfer learning system to perform a mixed Spanish-English sentiment classification task. Our proposal uses the state-of-the-art language model BERT and embed it within a ULMFiT transfer learning …...

AbstractPsychiatry and people suffering from mental disorders have often been given a pejorative label that induces social rejection. Many studies have addressed discourse content about psychiatry on social media, suggesting …...