[PDF][PDF] A weakly supervised model for sentence-level semantic orientation analysis with multiple experts
We propose the weakly supervised Multi-Experts Model (MEM) for analyzing the semantic
orientation of opinions expressed in natural language reviews. In contrast to most prior work …
orientation of opinions expressed in natural language reviews. In contrast to most prior work …
A critical survey on the use of fuzzy sets in speech and natural language processing
This paper shows how the use and applications of Fuzzy Sets (FS) in Speech and Natural
Language Processing (SNLP) have seen a steady decline to a point where FS are virtually …
Language Processing (SNLP) have seen a steady decline to a point where FS are virtually …
[PDF][PDF] Fuzzy semantic classifier to determine the strength levels of customer product reviews
Opinion Mining (OM) is one of the new paradigms of information retrieval and computational
linguistic. Previous studies focused on the automatic identification of opinion ie classifying …
linguistic. Previous studies focused on the automatic identification of opinion ie classifying …
Set-Similarity joins based semi-supervised sentiment analysis
A set-similarity joins based semi-supervised approach is presented to mine Chinese
sentiment words and sentences. The set-similarity joins is taken to join nodes in …
sentiment words and sentences. The set-similarity joins is taken to join nodes in …
Learning lexical subjectivity strength for chinese opinionated sentence identification
X Wang, G Fu - … Linguistics and Intelligent Text Processing: 13th …, 2012 - Springer
Lexical subjectivity strength has proven to be of great value to subjectivity classification.
However, the quantitative calculation of lexical subjectivity strength has not yet been much …
However, the quantitative calculation of lexical subjectivity strength has not yet been much …