@inproceedings{650453197423436fb8243b90f175a621,
title = "Finding compositional rules for determining the semantic orientation of phrases",
abstract = "The semantic compositionality principle states that the meaning of an expression can be determined by its parts and the way they are put together. Based on that principle, this paper presents a method for finding the set of compositional rules that best explain the positive, negative, and neutral semantic orientation (SO) of two-word phrases, in terms of the SO of its words. For instance, the phrase “fake contract” has a negative SO. A corpus was built for evaluating the proposed method and several experiences are reported. We also use the conditional probability as a reliability measure of the compositional rules. The reliability of the learned rules ranges from 60.44 % for verb-noun phrases to 100 % for adjective-adjective phrases.",
keywords = "Compositional rules, Semantic orientation, Sentiment analysis",
author = "Santos, {Ant{\'o}nio Paulo} and Ramos, {Jo{\~a}o Carlos} and Nuno Marques",
note = "Sem PDF.; 12th International Conference on Computational Processing of the Portuguese Language, PROPOR 2016 ; Conference date: 13-07-2016 Through 15-07-2016",
year = "2016",
doi = "10.1007/978-3-319-41552-9_13",
language = "English",
isbn = " 978-331941551-2",
volume = "9727",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "128--133",
booktitle = "Computational Processing of the Portuguese Language - 12th International Conference, PROPOR 2016, Proceedings",
address = "Germany",
}