Sentiment analysis means recognizing whether the text is sentimental or not, as well as the type of feelings, so that each text can have three types of negative, neutral, and positive sentiments. Sentiment detection helps a lot to understand society’s views on various issues. To this end, many researches have been done in this field in recent years.
This tool is the result of many researches done in this field, in relation to Persian texts, which has been launched by Shahab Data Mining Group. This tool is able to identify sentences very quickly, in terms of sentiment type and its extent and even whether they are sentimental or not. Numerous tests performed by our colleagues on this system are good evidence of its performance. The tests took this system to various challenges with literary as well as slang sentences and its promising results persuaded us to provide it to Persian speakers as a service.
Note: This tool is designed for short sentences rather than long texts.