HIGHLIGHTS
- who: Appl. Sci. and collaborators from the Department of Computer Science, National University of Computer and Emerging Sciences have published the article: Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in, in the Journal: (JOURNAL)
- what: The authors propose an inexpensive and simple method to obtain the most suitable representation of a sentence-vector through different algebraic combinations of a sentence's word vectors which will act as an input to any machine learning classifier. The authors have tested the technique on the restaurant review data provided in SemEval-2015 and SemEval . . .
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