Examine sentiments hidden in individual words and short sequences of words.

The free Sentiment Analysis app works by examining individual words and short sequences of words (n-grams) and comparing them with a probability model. The probability model is built on a pre-labeled test set of IMDb movie reviews. It can also detect negations in phrases, i.e, the phrase "not bad" will be classified as positive despite having two individual words with a negative sentiment.

Accuracy and Authenticity

Sentiment Analysis app is based on research work "Fast and accurate sentiment classification using an enhanced Naive Bayes model" conducted by Vivek Narayanan, Ishan Arora and Arjun Bhatia at Cornell University available at https://arxiv.org/abs/1305.6143.

Privacy Policy

No other personal data relating to you (such as username or email address) is required. The app will not collect any of your personal information and also not share user behaviour with anyone else in accordance with Privacy and Cookies Policy, available at https://www.drunkdeveloper.com/privacy.

Terms of Use

Please note that by using the app, you accept our Terms of Use, available at https://www.drunkdeveloper.com/terms.

Disclaimer

The content in the app is not endorsed by Drunk Developer, and uses content that is freely and publicly available online. Proper credits is attributed to the original producer of the content. All trademarks mentioned belong to their owners, third party brands, product names, trade names, corporate names and company names mentioned may be trademarks of their respective owners or registered trademarks of other companies and are used for purposes of explanation and to the owner's benefit, without implying a violation of copyright law.