Shun-Fujita

aozora_classification

This project aims to classify Japanese sentence to how well similar to some Japanese classical writers, such as Soseki Natsume, Ogai Mori, Ryunosuke Akutagawa and so on.

awesome-text-classification

Text classification meets word embeddings.

character-level-cnn

Keras implementation of Character-level CNN for Text Classification

gemini_streamlit

pointed-circle

You can't be in touch with a friend all the time That's why there are social networks. Now there are too many! You don't have that much time to go through all those feeds, tweets, etc.. But you want to know what your friend is up to, what's she feeling like, is she OK, etc. The Pointed Circle helps you understand your friend's mood and sentiments over a recent period of time based on status updates, streams, photos, tweets, etc. Loosely based on Plutchik’s Emotion Circumplex and heavily inspired by github data hack to understand sentiment, mood and the intensity of the moods based many social updates. Collating them, parsing, analyzing them to get a view of what is happening with the person.

streamlit_30days_study

Tensorflow-code

Change the world through emotion research

twitter-emotion-recognition

Models for predicting emotions from English tweets.

Shun-Fujita/aozora_classification

This project aims to classify Japanese sentence to how well similar to some Japanese classical writers, such as Soseki Natsume, Ogai Mori, Ryunosuke Akutagawa and so on.

Shun-Fujita/awesome-text-classification

Text classification meets word embeddings.

Shun-Fujita/character-level-cnn

Keras implementation of Character-level CNN for Text Classification

Shun-Fujita/gemini_streamlit

Shun-Fujita/pointed-circle

You can't be in touch with a friend all the time That's why there are social networks. Now there are too many! You don't have that much time to go through all those feeds, tweets, etc.. But you want to know what your friend is up to, what's she feeling like, is she OK, etc. The Pointed Circle helps you understand your friend's mood and sentiments over a recent period of time based on status updates, streams, photos, tweets, etc. Loosely based on Plutchik’s Emotion Circumplex and heavily inspired by github data hack to understand sentiment, mood and the intensity of the moods based many social updates. Collating them, parsing, analyzing them to get a view of what is happening with the person.

Shun-Fujita/streamlit_30days_study

Shun-Fujita/Tensorflow-code

Change the world through emotion research

Shun-Fujita/twitter-emotion-recognition

Models for predicting emotions from English tweets.