PhD Thesis: Computational Model for Semantic Textual Similarity (I. San Vicente, 2019/03/11)

The main goal of this thesis was to research on Multilingual Sentiment Analysis in order to develop a social media monitor on specific topics. The most relevant contributions are listed below:

• Improvement of the state of the art for Spanish polarity classification, and obtained the first position in the TASS shared task twice
• Contribution to the state of the art in aspect based SA for English, and notable results on the Semeval 2015 aspect based SA shared task
• Pioneering work for Basque in the SA field, specifically:
  • Creating the first sentiment lexicons for Basque
  • The first polarity annotated datasets for Basque.
  • First resources for Basque microtext normalization.
• EliXa, The first multilingual SA system including Basque.
• Talaia, a real social media monitoring platform applying all the previous research.
• A set of robust and open domain tools and resources that are freely available.