Finsentiment estimates a sentiment (positive, negative, or neutral) for each sentence in the input text, and also for the input text as a whole.

The sentiment analysis relies on three resources:

  1. Word embeddings calculated from a corpus of Finnish text.
  2. Product reviews harvested from the Internet.
  3. A word-based convolutional neural network with 100 kernels each of sizes 2, 3, 4 and 5 words. The neural network is trained to predict the rating associated with product reviews, and the prediction it gives to the input text is converted to a sentiment.

At the moment this tool is available as a demo version.

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Krister Lindén
Researcher of the Month: Krister Lindén


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