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Hits 21 – 37 of 37
21
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge
. - : figshare, 2018
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22
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez-Gil, Jorge
. - : figshare, 2018
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23
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Gil, Jorge Martinez
. - : figshare, 2018
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24
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge
. - : figshare, 2018
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25
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Gil, Jorge Martinez
. - : figshare, 2018
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26
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Hagenberg, Jorge
. - : figshare, 2018
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27
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Hagenberg, Jorge
. - : figshare, 2018
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28
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge
. - : figshare, 2017
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29
Aspect-based opinion mining framework using heuristic patterns ...
Zubair Asghar
;
Ahmad, Shakeel
;
Rabail Zahra
. - : figshare, 2017
BASE
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30
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge
. - : figshare, 2017
BASE
Show details
31
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge
. - : figshare, 2017
BASE
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32
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge
. - : figshare, 2017
BASE
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33
Aspect-based opinion mining framework using heuristic patterns ...
Zubair Asghar
;
Ahmad, Shakeel
;
Rabail Zahra
;
Aurangzeb Khan
;
Fazal Masud Kundi
. - : figshare, 2017
Abstract:
The aspect-based online opinions expressed by users on social media sites have become a popular source of information for consumers regarding their purchase decisions as well as for companies seeking opinions on their products. Therefore, it is important to develop aspect-based opinion mining applications with an emphasis on extracting and classifying the aspect-based opinions expressed by users about products in a given review. Previous studies have used a limited set of heuristic patterns for aspect extraction with both supervised (annotated-dataset-based) and unsupervised (lexical-resource-based) aspect-related sentiment classification algorithms. However, the present study proposes an integrated framework comprising of an extended set of heuristic patterns for aspect extraction, a hybrid sentiment classification module with the additional support of intensifiers and negations, and a summary generator. The performance evaluation of the proposed aspect-based opinion mining system using state-of-the-art ...
Keyword:
80105 Expert Systems
;
80605 Decision Support and Group Support Systems
;
80607 Information Engineering and Theory
;
80704 Information Retrieval and Web Search
;
FOS Computer and information sciences
;
FOS Media and communications
;
Information Systems
URL:
https://figshare.com/articles/journal_contribution/Aspect-based_opinion_mining_framework_using_heuristic_patterns/5330938/1
https://dx.doi.org/10.6084/m9.figshare.5330938.v1
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34
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge
. - : figshare, 2017
BASE
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35
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge
. - : figshare, 2017
BASE
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36
How Relevant is the Long Tail? - A Relevance Assessment Study on Million Short (Best Poster Award CLEF 2016) ...
Schaer, Philipp
;
Mayr, Philipp
;
Sünkler, Sebastian
. - : figshare, 2016
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37
How Relevant is the Long Tail? - A Relevance Assessment Study on Million Short (Best Poster Award CLEF 2016) ...
Schaer, Philipp
;
Mayr, Philipp
;
Sünkler, Sebastian
. - : figshare, 2016
BASE
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