Sentiment detection allows you to decide of a given text talks positively or negatively about a subject. Sentiment detection is a common building block of online reputation management services for companies. Such a service scans social media, blogs and editorials, figuring out the general publics mood towards a company.
Our features page walks you through all the functionality Sensium currently offers. You can try out html cleaning, tokenization, stemming & normalization, part-of-speech tagging, sentence segmentation, named entity recognition, keyphrase extraction, summarization and sentiment detection right in your browser.
The sentimeter application is an examplary use case for the sentiment detection feature of the Sensium framework. You can search for a specific tweet and get the overall mood towards the related tweets. If a tweet contains an embedded link, the linked article is also processed and the article sentiment is given.