EmoText for opinion mining in long texts

EmoText for opinion mining in long texts illustrates a domain-independent approach to opinion mining. For reliable result classified texts should contain not less than 200 words. In the next form enter the text to classify, e.g. a movie review and press the Classify button. You can take movie reviews from here.

The approach was tested on the following English corpora: Pang corpus, Berardinelli movie review corpus, a corpus with spontaneous dialogues (the SAL corpus), and a corpus with product reviews. Moreover, it gave rise to the framework for experimentation and rapid prototyping.

EmoText for affect sensing in short texts

EmoText for opinion mining in short texts demonstrates an approach to semantic textual affect sensing. In contrast to the statistical approach above, the semantic affect analyzer facilitates affect sensing in short texts using semantics of short emotional utterances. In the next form enter an emotional utterance to classify!