Resource Construction and Evaluation for Indirect Opinion Mining of Drug Reviews
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{"title"=>"Resource construction and evaluation for indirect opinion mining of drug reviews", "type"=>"journal", "authors"=>[{"first_name"=>"Samira", "last_name"=>"Noferesti", "scopus_author_id"=>"35756412300"}, {"first_name"=>"Mehrnoush", "last_name"=>"Shamsfard", "scopus_author_id"=>"6506332196"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84930657143", "sgr"=>"84930657143", "pui"=>"604612615", "isbn"=>"1932-6203", "pmid"=>"25962135", "doi"=>"10.1371/journal.pone.0124993"}, "id"=>"bb84dbd1-dffc-3413-b92f-2740a3651b52", "abstract"=>"Opinion mining is a well-known problem in natural language processing that has attracted increasing attention in recent years. Existing approaches are mainly limited to the identification of direct opinions and are mostly dedicated to explicit opinions. However, in some domains such as medical, the opinions about an entity are not usually expressed by opinion words directly, but they are expressed indirectly by describing the effect of that entity on other ones. Therefore, ignoring indirect opinions can lead to the loss of valuable information and noticeable decline in overall accuracy of opinion mining systems. In this paper, we first introduce the task of indirect opinion mining. Then, we present a novel approach to construct a knowledge base of indirect opinions, called OpinionKB, which aims to be a resource for automatically classifying people's opinions about drugs. Using our approach, we have extracted 896 quadruples of indirect opinions at a precision of 88.08 percent. Furthermore, experiments on drug reviews demonstrate that our approach can achieve 85.25 percent precision in polarity detection task, and outperforms the state-of-the-art opinion mining methods. We also build a corpus of indirect opinions about drugs, which can be used as a basis for supervised indirect opinion mining. The proposed approach for corpus construction achieves the precision of 88.42 percent.", "link"=>"http://www.mendeley.com/research/resource-construction-evaluation-indirect-opinion-mining-drug-reviews", "reader_count"=>10, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>4, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>4, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Computer Science"=>9}, "reader_count_by_subdiscipline"=>{"Computer Science"=>{"Computer Science"=>9}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/2062364"], "description"=>"<p>The overview of our method</p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410638, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.g001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_overview_of_our_method_/1410638", "title"=>"The overview of our method", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-11 03:57:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2062393"], "description"=>"<p>Test set information</p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410667, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.t011", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Test_set_information_/1410667", "title"=>"Test set information", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-05-11 03:57:39"}
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  • {"files"=>["https://ndownloader.figshare.com/files/2062373"], "description"=>"<p>Comparison of the proposed method for incomplete indirect opinion extraction with the baseline method</p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410647, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.g006", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_proposed_method_for_incomplete_indirect_opinion_extraction_with_the_baseline_method_/1410647", "title"=>"Comparison of the proposed method for incomplete indirect opinion extraction with the baseline method", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-11 03:57:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2062387"], "description"=>"<p>Precision of the proposed system</p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410661, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.t008", "stats"=>{"downloads"=>6, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Precision_of_the_proposed_system_/1410661", "title"=>"Precision of the proposed system", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-05-11 03:57:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2062369"], "description"=>"<p>An example of a structured review from <a href=\"http://www.druglib.com\" target=\"_blank\">www.druglib.com</a></p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410643, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.g004", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_An_example_of_a_structured_review_from_www_druglib_com_/1410643", "title"=>"An example of a structured review from www.druglib.com", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-11 03:57:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2062383"], "description"=>"<p>Performance of the filtering sub-modules</p>", "links"=>[], "tags"=>["opinion mining methods", "Drug Reviews Opinion mining", "approach", "Indirect Opinion Mining", "opinion mining systems", "opinion mining", "85.25 percent precision", "polarity detection task"], "article_id"=>1410657, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Samira Noferesti", "Mehrnoush Shamsfard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124993.t005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_of_the_filtering_sub_modules_/1410657", "title"=>"Performance of the filtering sub-modules", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-05-11 03:57:39"}

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  • {"unique-ip"=>"29", "full-text"=>"34", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"31", "full-text"=>"32", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"40", "full-text"=>"44", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"25", "full-text"=>"27", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"33", "full-text"=>"34", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"27", "full-text"=>"36", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"35", "full-text"=>"41", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"22", "full-text"=>"27", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"14", "full-text"=>"18", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"21", "full-text"=>"25", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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