{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78669"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78669","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A general tool for interactive analysis of opinions in reviews","abstract":"This Thesis was approved for publication on 2015-04-28 at 07:47.","abstract_html":"This Thesis was approved for publication on 2015-04-28 at 07:47.","abstract_has_math":false,"creators":["Xu, Jinyao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:33:54Z","date_published":"2015-07-22T22:33:54Z","updated_at":"2026-07-22T22:26:12Z","subjects":["Text Mining","Reviews"],"languages":["en"],"rights":["Copyright 2015 Jinyao Xu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78669","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Xu, Jinyao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:33:54Z","2017-07-23T09:15:22Z","2015-05","2015-04-28","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Text Mining","Reviews"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Jinyao Xu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78669"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This Thesis was approved for publication on 2015-04-28 at 07:47.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8094 on 2015-07-22 at 14:18:51","Made available in DSpace on 2015-07-22T22:33:54Z (GMT). No. of bitstreams: 2 XU-THESIS-2015.pdf: 913192 bytes, checksum: 39112f8422be5810b57c60da2d0bff92 (MD5) LICENSE.txt: 4206 bytes, checksum: 87a092df91e644f0059c151eb5e0a4fa (MD5) Previous issue date: 2015-04-28","Online review data contains useful information about consumers’ opinions about the reviewed products. Understanding reviews is extremely important for a producer, such as a corporation designing and producing cell phone, to predict the market and make future strategies. However, due to the large volume of the review data, it is difficult to quickly digest the reviewers’ the preferences, or to further recognize interesting patterns of reviewers’ opinions. To address this need, in this thesis, we propose a novel analysis system based on Latent Aspect Rating Analysis Model. It not only understand the feedbacks or reviews from the costumers, but also analyze the market and trend behind the data. As for the user’s basic interface, we define some operators for the analysis system and the user can conduct our predefined queries with the operators over the data to analyze the products. Futhermore, we allow the users to do more complex jobs over the system by designing a pipeline syntax of the operators. Besides, the system can visualize the results, so that the users can better understand the reviews. Overall, the proposed analysis system is general and can support analysis of any review data. It thus enables many interesting applications such as product analysis, market prediction and business intelligence.","Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01","The student, Jinyao Xu, accepted the attached license on 2015-04-24 at 14:31.","The student, Jinyao Xu, submitted this Thesis for approval on 2015-04-24 at 14:36.","Embargo set by: Seth Robbins for item 79910 Lift date: 2017-07-22T22:34:16Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 79910 on 2017-07-23T09:15:22Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A general tool for interactive analysis of opinions in reviews"]}]}],"canonical_facts":{"dc:creator":["Xu, Jinyao"],"dc:date":["2015-07-22T22:33:54Z","2017-07-23T09:15:22Z","2015-05","2015-04-28","2015-5"],"dc:description":["This Thesis was approved for publication on 2015-04-28 at 07:47.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8094 on 2015-07-22 at 14:18:51","Made available in DSpace on 2015-07-22T22:33:54Z (GMT). No. of bitstreams: 2 XU-THESIS-2015.pdf: 913192 bytes, checksum: 39112f8422be5810b57c60da2d0bff92 (MD5) LICENSE.txt: 4206 bytes, checksum: 87a092df91e644f0059c151eb5e0a4fa (MD5) Previous issue date: 2015-04-28","Online review data contains useful information about consumers’ opinions about the reviewed products. Understanding reviews is extremely important for a producer, such as a corporation designing and producing cell phone, to predict the market and make future strategies. However, due to the large volume of the review data, it is difficult to quickly digest the reviewers’ the preferences, or to further recognize interesting patterns of reviewers’ opinions. To address this need, in this thesis, we propose a novel analysis system based on Latent Aspect Rating Analysis Model. It not only understand the feedbacks or reviews from the costumers, but also analyze the market and trend behind the data. As for the user’s basic interface, we define some operators for the analysis system and the user can conduct our predefined queries with the operators over the data to analyze the products. Futhermore, we allow the users to do more complex jobs over the system by designing a pipeline syntax of the operators. Besides, the system can visualize the results, so that the users can better understand the reviews. Overall, the proposed analysis system is general and can support analysis of any review data. It thus enables many interesting applications such as product analysis, market prediction and business intelligence.","Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01","The student, Jinyao Xu, accepted the attached license on 2015-04-24 at 14:31.","The student, Jinyao Xu, submitted this Thesis for approval on 2015-04-24 at 14:36.","Embargo set by: Seth Robbins for item 79910 Lift date: 2017-07-22T22:34:16Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 79910 on 2017-07-23T09:15:22Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/78669"],"dc:language":["en"],"dc:rights":["Copyright 2015 Jinyao Xu"],"dc:subject":["Text Mining","Reviews"],"dc:title":["A general tool for interactive analysis of opinions in reviews"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:12Z"}