JANYS ANALYTICS

Sentiment Tracking: The Mood of the World. Now.

Providing an interactive website featuring technology that allows users to identify and view public sentiment on various topics; Scientific research consulting in the field of public sentiment and emotion.

What is sentiment tracking?

Billions of people share their thoughts and feelings online. For instance, people post more than 300 million new tweets every day. Using Natural Language Processing and Machine Learning techniques, from the enormous corpus of texts, we can infer how people feel across world.

Pulse of the Nation: Tracking Sentiment of US

A good example of sentiment tracking is a visualization called "Pulse of the Nation", which was created by the co-founders. Sentiment analysis of large volume of tweets, together with location information, reveal the pattern of our everyday living. For more information visit the project homepage.

Pulse of the Nation poster

A time-lapse video of the maps, cycled twice, is available below (best viewed at 720p).

How accurate is your sentiment tracking?

This is an important question. Anyone can run any sentiment analysis method. But the real difference is made by rigorous validation process. We apply machine learning and crowdsourcing techniques to rigorously evaluate our method. Our current state-of-the-art method agrees with human raters almost as well as humans did with each other.

But how about sampling bias?

This is an important question. Anyone can run any sentiment analysis method. But the real difference is made by rigorous validation process. We apply machine learning and crowdsourcing techniques to rigorously evaluate our method. Our current state-of-the-art method agrees with human raters almost as well as humans did with each other.

All languages, covered

Our machine learning approach for sentiment tracking can be applied to any language in the world. Our method have yielded robust, accurate results for many languages other than english, including French, German, Arabic, and Chinese.

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