Character-based Transfer Learning for Sentiment Analysis - used character-level ConvNet to learn sentiment in product reviews and use extracted features to train a new classifier for Twitter sentiment

I have:

● Used TensorFlow for sentiment analysis using a character-based ConvNet.

● Used Scala and Deeplearning4j for k-NN analysis of legislation in the Companies Act 2006. Sentence vectors were calculated using the TF-IDF weighted Word2Vec score of each word in the sentence.

● Used Git with Stash in 2 week sprints with Kanban boards and daily stand-ups.

● Used sprint retrospectives to focus research and bring it in line with project expectations.