Ontology-Guided Approach to Feature-Based Opinion Mining View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Isidro Peñalver-Martínez , Rafael Valencia-García , Francisco García-Sánchez

ABSTRACT

The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users’ opinions has attracted researchers from the information retrieval and computational linguistics fields. However, current approaches to so-called opinion mining suffer from a series of drawbacks. In this paper we propose an innovative methodology for opinion mining that brings together traditional natural language processing techniques with sentimental analysis processes and Semantic Web technologies. The main goals of this methodology is to improve feature-based opinion mining by employing ontologies in the selection of features and to provide a new method for sentimental analysis based on vector analysis. The preliminary experimental results seem promising as compared against the traditional approaches. More... »

PAGES

193-200

References to SciGraph publications

  • 2009. Ontology Based Opinion Mining for Movie Reviews in KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT
  • 2008. Seeing Several Stars: A Rating Inference Task for a Document Containing Several Evaluation Criteria in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
  • 2009. Multi-facet Rating of Product Reviews in ADVANCES IN INFORMATION RETRIEVAL
  • 2010. Semantic Approaches to Fine and Coarse-Grained Feature-Based Opinion Mining in NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS
  • Book

    TITLE

    Natural Language Processing and Information Systems

    ISBN

    978-3-642-22326-6
    978-3-642-22327-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20

    DOI

    http://dx.doi.org/10.1007/978-3-642-22327-3_20

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1012680862


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Murcia", 
              "id": "https://www.grid.ac/institutes/grid.10586.3a", 
              "name": [
                "Dpto. Informatica y Sistemas, Facultad de Informatica, Universidad de Murcia, 30100, Espinardo (Murcia), Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pe\u00f1alver-Mart\u00ednez", 
            "givenName": "Isidro", 
            "id": "sg:person.016363130347.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016363130347.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Murcia", 
              "id": "https://www.grid.ac/institutes/grid.10586.3a", 
              "name": [
                "Dpto. Informatica y Sistemas, Facultad de Informatica, Universidad de Murcia, 30100, Espinardo (Murcia), Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Valencia-Garc\u00eda", 
            "givenName": "Rafael", 
            "id": "sg:person.012051275321.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012051275321.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Valencia", 
              "id": "https://www.grid.ac/institutes/grid.5338.d", 
              "name": [
                "Dpto. Informatica, Escuela Tecnica Superior de Ingenieria, Universidad de Valencia, 46100, Burjassot (Valencia), Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garc\u00eda-S\u00e1nchez", 
            "givenName": "Francisco", 
            "id": "sg:person.015046075460.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046075460.11"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/1014052.1014073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001058137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1220355.1220555", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022986753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asi.20735", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025994098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/979617.979640", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028372173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-023x(97)00056-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031225237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-12550-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034812690", 
              "https://doi.org/10.1007/978-3-642-12550-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-12550-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034812690", 
              "https://doi.org/10.1007/978-3-642-12550-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/944012.944013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035170625"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-10488-6_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044561947", 
              "https://doi.org/10.1007/978-3-642-10488-6_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-10488-6_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044561947", 
              "https://doi.org/10.1007/978-3-642-10488-6_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68125-0_106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049288571", 
              "https://doi.org/10.1007/978-3-540-68125-0_106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68125-0_106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049288571", 
              "https://doi.org/10.1007/978-3-540-68125-0_106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1220355.1220476", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049623405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-00958-7_41", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052341171", 
              "https://doi.org/10.1007/978-3-642-00958-7_41"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-00958-7_41", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052341171", 
              "https://doi.org/10.1007/978-3-642-00958-7_41"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1218955.1218990", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099221218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1218955.1218990", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099221218"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011", 
        "datePublishedReg": "2011-01-01", 
        "description": "The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users\u2019 opinions has attracted researchers from the information retrieval and computational linguistics fields. However, current approaches to so-called opinion mining suffer from a series of drawbacks. In this paper we propose an innovative methodology for opinion mining that brings together traditional natural language processing techniques with sentimental analysis processes and Semantic Web technologies. The main goals of this methodology is to improve feature-based opinion mining by employing ontologies in the selection of features and to provide a new method for sentimental analysis based on vector analysis. The preliminary experimental results seem promising as compared against the traditional approaches.", 
        "editor": [
          {
            "familyName": "Mu\u00f1oz", 
            "givenName": "Rafael", 
            "type": "Person"
          }, 
          {
            "familyName": "Montoyo", 
            "givenName": "Andr\u00e9s", 
            "type": "Person"
          }, 
          {
            "familyName": "M\u00e9tais", 
            "givenName": "Elisabeth", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-22327-3_20", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-22326-6", 
            "978-3-642-22327-3"
          ], 
          "name": "Natural Language Processing and Information Systems", 
          "type": "Book"
        }, 
        "name": "Ontology-Guided Approach to Feature-Based Opinion Mining", 
        "pagination": "193-200", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1012680862"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-22327-3_20"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "3c6961883723f761e1880b6de45749f1df64f7efce45b29be9966af35a7be840"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-22327-3_20", 
          "https://app.dimensions.ai/details/publication/pub.1012680862"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T08:52", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78965_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-3-642-22327-3_20"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20'


     

    This table displays all metadata directly associated to this object as RDF triples.

    132 TRIPLES      23 PREDICATES      39 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-22327-3_20 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Nbefad156f1dd44df8db176729e8a08df
    4 schema:citation sg:pub.10.1007/978-3-540-68125-0_106
    5 sg:pub.10.1007/978-3-642-00958-7_41
    6 sg:pub.10.1007/978-3-642-10488-6_22
    7 sg:pub.10.1007/978-3-642-12550-8_12
    8 https://doi.org/10.1002/asi.20735
    9 https://doi.org/10.1016/s0169-023x(97)00056-6
    10 https://doi.org/10.1145/1014052.1014073
    11 https://doi.org/10.1145/944012.944013
    12 https://doi.org/10.3115/1218955.1218990
    13 https://doi.org/10.3115/1220355.1220476
    14 https://doi.org/10.3115/1220355.1220555
    15 https://doi.org/10.3115/979617.979640
    16 schema:datePublished 2011
    17 schema:datePublishedReg 2011-01-01
    18 schema:description The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users’ opinions has attracted researchers from the information retrieval and computational linguistics fields. However, current approaches to so-called opinion mining suffer from a series of drawbacks. In this paper we propose an innovative methodology for opinion mining that brings together traditional natural language processing techniques with sentimental analysis processes and Semantic Web technologies. The main goals of this methodology is to improve feature-based opinion mining by employing ontologies in the selection of features and to provide a new method for sentimental analysis based on vector analysis. The preliminary experimental results seem promising as compared against the traditional approaches.
    19 schema:editor N1d5bce09d6c54f5e9430190aef038020
    20 schema:genre chapter
    21 schema:inLanguage en
    22 schema:isAccessibleForFree false
    23 schema:isPartOf Nd71160eba93645eaa2bb8d0834397af3
    24 schema:name Ontology-Guided Approach to Feature-Based Opinion Mining
    25 schema:pagination 193-200
    26 schema:productId N90e572fbd0444a05bc8bd1bfeac8946d
    27 Nd4a6711445074808a5f9dc70c85e7c7c
    28 Ne9cbcdb078ee47c6943c8daca35bdf42
    29 schema:publisher Nb4f024921e8a44f3b0327a7a80bace7b
    30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012680862
    31 https://doi.org/10.1007/978-3-642-22327-3_20
    32 schema:sdDatePublished 2019-04-16T08:52
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher N655feb5892ca4424b8b321c2ceb135b7
    35 schema:url https://link.springer.com/10.1007%2F978-3-642-22327-3_20
    36 sgo:license sg:explorer/license/
    37 sgo:sdDataset chapters
    38 rdf:type schema:Chapter
    39 N016febb766a649599bc5e433c095ec31 schema:familyName Métais
    40 schema:givenName Elisabeth
    41 rdf:type schema:Person
    42 N1d5bce09d6c54f5e9430190aef038020 rdf:first N4f47a38546844e688fc1c146c28e21a1
    43 rdf:rest Ndfaca3ccf839491080b9a43519c6d1fe
    44 N44dafaed13654f59a80f307f6c45e4ca rdf:first N016febb766a649599bc5e433c095ec31
    45 rdf:rest rdf:nil
    46 N4f47a38546844e688fc1c146c28e21a1 schema:familyName Muñoz
    47 schema:givenName Rafael
    48 rdf:type schema:Person
    49 N58fcae0aa7e04c2487c11bd3579df123 schema:familyName Montoyo
    50 schema:givenName Andrés
    51 rdf:type schema:Person
    52 N655feb5892ca4424b8b321c2ceb135b7 schema:name Springer Nature - SN SciGraph project
    53 rdf:type schema:Organization
    54 N90e572fbd0444a05bc8bd1bfeac8946d schema:name readcube_id
    55 schema:value 3c6961883723f761e1880b6de45749f1df64f7efce45b29be9966af35a7be840
    56 rdf:type schema:PropertyValue
    57 Nb4f024921e8a44f3b0327a7a80bace7b schema:location Berlin, Heidelberg
    58 schema:name Springer Berlin Heidelberg
    59 rdf:type schema:Organisation
    60 Nbefad156f1dd44df8db176729e8a08df rdf:first sg:person.016363130347.06
    61 rdf:rest Ne1b9f8d895b54099a8b21b2a8cda8d74
    62 Nd4a6711445074808a5f9dc70c85e7c7c schema:name dimensions_id
    63 schema:value pub.1012680862
    64 rdf:type schema:PropertyValue
    65 Nd71160eba93645eaa2bb8d0834397af3 schema:isbn 978-3-642-22326-6
    66 978-3-642-22327-3
    67 schema:name Natural Language Processing and Information Systems
    68 rdf:type schema:Book
    69 Ndfaca3ccf839491080b9a43519c6d1fe rdf:first N58fcae0aa7e04c2487c11bd3579df123
    70 rdf:rest N44dafaed13654f59a80f307f6c45e4ca
    71 Ne1b9f8d895b54099a8b21b2a8cda8d74 rdf:first sg:person.012051275321.61
    72 rdf:rest Nf4384880913542648966ed9ef6fe1d3e
    73 Ne9cbcdb078ee47c6943c8daca35bdf42 schema:name doi
    74 schema:value 10.1007/978-3-642-22327-3_20
    75 rdf:type schema:PropertyValue
    76 Nf4384880913542648966ed9ef6fe1d3e rdf:first sg:person.015046075460.11
    77 rdf:rest rdf:nil
    78 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Information and Computing Sciences
    80 rdf:type schema:DefinedTerm
    81 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    82 schema:name Artificial Intelligence and Image Processing
    83 rdf:type schema:DefinedTerm
    84 sg:person.012051275321.61 schema:affiliation https://www.grid.ac/institutes/grid.10586.3a
    85 schema:familyName Valencia-García
    86 schema:givenName Rafael
    87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012051275321.61
    88 rdf:type schema:Person
    89 sg:person.015046075460.11 schema:affiliation https://www.grid.ac/institutes/grid.5338.d
    90 schema:familyName García-Sánchez
    91 schema:givenName Francisco
    92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046075460.11
    93 rdf:type schema:Person
    94 sg:person.016363130347.06 schema:affiliation https://www.grid.ac/institutes/grid.10586.3a
    95 schema:familyName Peñalver-Martínez
    96 schema:givenName Isidro
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016363130347.06
    98 rdf:type schema:Person
    99 sg:pub.10.1007/978-3-540-68125-0_106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049288571
    100 https://doi.org/10.1007/978-3-540-68125-0_106
    101 rdf:type schema:CreativeWork
    102 sg:pub.10.1007/978-3-642-00958-7_41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052341171
    103 https://doi.org/10.1007/978-3-642-00958-7_41
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/978-3-642-10488-6_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044561947
    106 https://doi.org/10.1007/978-3-642-10488-6_22
    107 rdf:type schema:CreativeWork
    108 sg:pub.10.1007/978-3-642-12550-8_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034812690
    109 https://doi.org/10.1007/978-3-642-12550-8_12
    110 rdf:type schema:CreativeWork
    111 https://doi.org/10.1002/asi.20735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025994098
    112 rdf:type schema:CreativeWork
    113 https://doi.org/10.1016/s0169-023x(97)00056-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031225237
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1145/1014052.1014073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001058137
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1145/944012.944013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035170625
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.3115/1218955.1218990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099221218
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.3115/1220355.1220476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049623405
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.3115/1220355.1220555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022986753
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.3115/979617.979640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028372173
    126 rdf:type schema:CreativeWork
    127 https://www.grid.ac/institutes/grid.10586.3a schema:alternateName University of Murcia
    128 schema:name Dpto. Informatica y Sistemas, Facultad de Informatica, Universidad de Murcia, 30100, Espinardo (Murcia), Spain
    129 rdf:type schema:Organization
    130 https://www.grid.ac/institutes/grid.5338.d schema:alternateName University of Valencia
    131 schema:name Dpto. Informatica, Escuela Tecnica Superior de Ingenieria, Universidad de Valencia, 46100, Burjassot (Valencia), Spain
    132 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...