Introducing a Lexicon of Verbal Polarity Shifters for English

Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German

Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions

The sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class negation words like {``…

Using Data Mining Techniques for Sentiment Shifter Identification

Sentiment shifters, i.e., words and expressions that can affect text polarity, play an important role in opinion mining. However, the limited ability of current automated opinion mining systems to handle shifters represe…

Lingmotif: Sentiment Analysis for the Digital Humanities

Lingmotif is a lexicon-based, linguistically-motivated, user-friendly, GUI-enabled, multi-platform, Sentiment Analysis desktop application. Lingmotif can perform SA on any type of input texts, regardless of their length …

A Language Independent Method for Generating Large Scale Polarity Lexicons

Sentiment Analysis systems aims at detecting opinions and sentiments that are expressed in texts. Many approaches in literature are based on resources that model the prior polarity of words or multi-word expressions, i.e…