Viewing profile — Yeroniomus

Thanks a lot for the suggestions and feedbacks to everyone. My nearest plans: small interface redesign, improvement of sentiment analysis algorithm, personalization of news feeds a…

Yes, not very good screenshot for the landing page. But all of the predictions were made by AI :-)

Not now. It does a general prediction. Maybe I will add this feature in future releases.

After collection of possible positive/negative features with weights I used logistic regression classifier with some modifications (e.g. position algorithm) to classify the article…

Thanks a lot for the link. I've used the technology called Paragraph Vectors https://cs.stanford.edu/~quocle/paragraph_vector.pdf for sentiment features extraction. Training collec…

Hello, Hacker News users! It's my first Android app and first experience of Android development :-). SentiNews is based on sentiment analysis which helps to classify news as positi…

The app uses algorithms of sentiment analysis https://en.wikipedia.org/wiki/Sentiment_analysis All news classify by their positive/negative features. A lot of news sources for diff…

Thanks a lot for your recommendations about the UI and the app in general. I'll update it in a near future. It's my first Android project ("just for fun") and I hope you will use S…

The app uses algorithms of sentiment analysis https://en.wikipedia.org/wiki/Sentiment_analysis All news classify by their positive/negative features. The set of features was create…

The main idea was to avoid negative news content with the help of sentiment analysis algorithms. It detects good/bad news articles automatically. So you can read about only good th…