TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites
The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing studies increased, and this topic became one of the most studied artificial intelligence subjects. Even though it is a popular topic that is w...
Saved in:
| Published in | Journal of information science Vol. 49; no. 6; pp. 1711 - 1725 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.12.2023
Bowker-Saur Ltd |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing studies increased, and this topic became one of the most studied artificial intelligence subjects. Even though it is a popular topic that is widely studied on, not enough studies have been conducted on the Turkish language. Even the studies conducted in Turkey are primarily on English and other natural languages instead of Turkish. The lack of a Turkish dataset is the most crucial reason for the lack of studies. Therefore, to create a solution, user reviews on e-commerce websites were collected and labelled reviews as positive, negative and neutral, and a new and unique dataset consisting of 150,000 reviews was created. This dataset was named TRSAv1, which was publicly shared with the researchers will contribute to the Turkish natural language processing studies; however, the effect of different word representation methods on algorithm performance was examined in detail, and the results were compared. |
|---|---|
| AbstractList | The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing studies increased, and this topic became one of the most studied artificial intelligence subjects. Even though it is a popular topic that is widely studied on, not enough studies have been conducted on the Turkish language. Even the studies conducted in Turkey are primarily on English and other natural languages instead of Turkish. The lack of a Turkish dataset is the most crucial reason for the lack of studies. Therefore, to create a solution, user reviews on e-commerce websites were collected and labelled reviews as positive, negative and neutral, and a new and unique dataset consisting of 150,000 reviews was created. This dataset was named TRSAv1, which was publicly shared with the researchers will contribute to the Turkish natural language processing studies; however, the effect of different word representation methods on algorithm performance was examined in detail, and the results were compared. |
| Author | Kocaman, Veysel Aydoğan, Murat |
| Author_xml | – sequence: 1 givenname: Murat orcidid: 0000-0002-6876-6454 surname: Aydoğan fullname: Aydoğan, Murat organization: John Snow Labs Inc., USA – sequence: 2 givenname: Veysel surname: Kocaman fullname: Kocaman, Veysel organization: John Snow Labs Inc., USA |
| BookMark | eNp9kElLA0EQhRtRMIn-AG8Nnid29TKLtxDcICBoPHkYenqqk84yE7tnEvLvnRBBUPRUUPW-qnqvT06rukJCroANAZLkhkGslALFObBECp6ekB4kEqJYpuqU9A7z6CA4J_0QFowxlQnZI-_Tl9fRFm7piFa4owVWZr7WfklL3eiADbW1p2alQ3B276oZbQN66nHrcBdoXdFp65cuzClGpl6v0RukOyyCazBckDOrVwEvv-qAvN3fTceP0eT54Wk8mkRGAG-igpextYaBkAhKGCi5TArLWCkgU6osucmUTnmGsjPAsJQoBEgbZ10rBisG5Pq4d-PrjxZDky_q1lfdyZynGecyTpjoVHBUGV-H4NHmG-86q_scWH7IMP-VYcckPxjjGt24umq8dqt_yeGRDHqG3__8DXwCMpuCtg |
| CitedBy_id | crossref_primary_10_35234_fumbd_1126688 crossref_primary_10_4018_JOEUC_340038 crossref_primary_10_1109_ACCESS_2024_3349971 crossref_primary_10_1155_2022_2455160 crossref_primary_10_1145_3610289 crossref_primary_10_1016_j_procs_2024_09_016 crossref_primary_10_1016_j_sasc_2025_200216 |
| Cites_doi | 10.1016/j.ipm.2019.102187 10.1177/0165551518761014 10.1186/s40537-015-0015-2 10.1007/BF00994018 10.1037/h0042519 10.1109/72.554195 10.2339/politeknik.684558 10.1023/A:1010933404324 10.3115/v1/D14-1179 10.1016/S0020-7373(87)80053-6 10.26417/ejls.v9i1.p18-24 10.1177/0165551515620551 10.5505/pajes.2015.37268 10.21605/cukurovaummfd.609119 10.1038/323533a0 10.1109/ACCESS.2019.2960113 10.1109/TETCI.2017.2762739 10.1001/jama.2016.7653 10.1016/0749-596X(89)90025-9 10.1109/78.650093 10.1162/neco.1997.9.8.1735 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2022 |
| Copyright_xml | – notice: The Author(s) 2022 |
| DBID | AAYXX CITATION 7SC 8FD E3H F2A JQ2 L7M L~C L~D |
| DOI | 10.1177/01655515221074328 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Technology Research Database Library & Information Sciences Abstracts (LISA) Library & Information Science Abstracts (LISA) ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Library and Information Science Abstracts (LISA) ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Library & Information Science |
| EISSN | 1741-6485 |
| EndPage | 1725 |
| ExternalDocumentID | 10_1177_01655515221074328 10.1177_01655515221074328 |
| GroupedDBID | -TM -~X .2G .2L .DC 01A 09Z 0R~ 1OL 1~K 29K 31S 31V 31W 31X 4.4 54M 56W 5GY 5VS 77K AABOD AACKU AADIR AADUE AAGGD AAGLT AAJPV AAKTJ AAMFR AANSI AAPEO AAQDB AAQXI AARIX AATAA AAWLO ABAWP ABCCA ABCJG ABEIX ABFXH ABHQH ABIDT ABJNI ABKRH ABPNF ABQKF ABQPY ABQXT ABRHV ABUJY ABYTW ACAEP ACDXX ACFUR ACFZE ACGFS ACHQT ACJER ACLZU ACOFE ACOXC ACROE ACRPL ACSIQ ACUFS ACUIR ADDLC ADEBD ADEIA ADMHG ADNMO ADNON ADPEE ADRRZ ADSTG ADTOS ADUKL ADYCS AEDXQ AEILP AENEX AEOBU AESMA AESZF AEUHG AEVPJ AEWDL AEWHI AEXNY AFEET AFKBI AFKRG AFMOU AFQAA AFUIA AFWMB AGDVU AGKLV AGNHF AGNWV AGQPQ AGWNL AHDMH AHHFK AHWHD AJUZI ALFTD ALMA_UNASSIGNED_HOLDINGS ANDLU ARTOV ASPBG AUTPY AUVAJ AVWKF AYPQM AZFZN B8O B8S B8T B8Z BDZRT BMVBW BPACV BYIEH CAG CBRKF CCGJY CEADM COF CS3 D-I DD0 DD~ DG~ DOPDO DU5 DV7 DV8 EBS EJD FEDTE FHBDP GROUPED_SAGE_PREMIER_JOURNAL_COLLECTION H13 HF~ HVGLF HZ~ J8X LPU MS~ N9A O9- P.B P2P PQQKQ Q1R Q7O Q7P Q7X RIG ROL S01 SASJQ SAUOL SBI SCNPE SFB SFC SFK SFT SGP SGU SGV SHB SHF SHM SPJ SPK SPP SQCSI SSDHQ TN5 ZPLXX ZPPRI ~32 ~A~ AAYXX ACCVC AJGYC AMNSR CITATION 7SC 8FD AAPII AJVBE E3H F2A JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c312t-b2d6ffc0134e153c1d247bf00d31955dd2c95a829e45510ed4e3314f6929e61f3 |
| ISSN | 0165-5515 |
| IngestDate | Fri Jul 25 04:32:21 EDT 2025 Thu Apr 24 22:50:22 EDT 2025 Tue Jul 01 05:25:02 EDT 2025 Tue Jun 17 22:38:26 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Keywords | TRSAv1 dataset Turkish sentiment analysis word embedding Machine learning |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c312t-b2d6ffc0134e153c1d247bf00d31955dd2c95a829e45510ed4e3314f6929e61f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-6876-6454 |
| PQID | 2892246703 |
| PQPubID | 43525 |
| PageCount | 15 |
| ParticipantIDs | proquest_journals_2892246703 crossref_primary_10_1177_01655515221074328 crossref_citationtrail_10_1177_01655515221074328 sage_journals_10_1177_01655515221074328 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20231200 2023-12-00 20231201 |
| PublicationDateYYYYMMDD | 2023-12-01 |
| PublicationDate_xml | – month: 12 year: 2023 text: 20231200 |
| PublicationDecade | 2020 |
| PublicationPlace | London, England |
| PublicationPlace_xml | – name: London, England – name: Amsterdam |
| PublicationTitle | Journal of information science |
| PublicationYear | 2023 |
| Publisher | SAGE Publications Bowker-Saur Ltd |
| Publisher_xml | – name: SAGE Publications – name: Bowker-Saur Ltd |
| References | Tocoglu, Alpkocak 2018; 44 Tocoglu, Ozturkmenoglu, Alpkocak 2019; 7 Yıldırım, Yıldız 2018; 22 Hark, Karcı 2020; 57 Hochreiter, Schmidhuber 1997; 9 Cho, Van Moer, Gulcehre 2014 Colé, Beauvillain, Segui 1989; 28 Tolles, Meurer 2016; 316 Akgül, Ertano, Diri 2016; 22 Breiman 2001; 45 Kılınç, Özçift, Bozyigit 2017; 43 Fang, Zhan 2015; 2 Lawrence, Giles, Tsoi 1997; 8 Sezer 2017; 9 Ting, Ip, Tsang 2011; 5 Quinlan 1987; 27 Ravanelli, Brakel, Omologo 2018; 2 Cortes, Vladimir 1995; 20 Williams, Geoffrey, David 1986; 323 Aydoğan, Karci 2019; 34 Uçkan, Hark, Karci 2021; 24 Schuster, Paliwal 1997; 45 Ben-Hur, Horn, Siegelmann 2001; 2 Rosenblatt 1958; 65 Meral M (bibr14-01655515221074328) Joulin A (bibr35-01655515221074328) 2016 Ben-Hur A (bibr41-01655515221074328) 2001; 2 bibr43-01655515221074328 Sevindi İ (bibr12-01655515221074328) 2013 Wöllmer M (bibr55-01655515221074328) Boser E (bibr39-01655515221074328) Mikolov T (bibr31-01655515221074328) bibr22-01655515221074328 bibr51-01655515221074328 bibr42-01655515221074328 bibr15-01655515221074328 bibr28-01655515221074328 Aydoğan M (bibr1-01655515221074328) Geiger J (bibr56-01655515221074328) bibr57-01655515221074328 bibr17-01655515221074328 bibr47-01655515221074328 bibr7-01655515221074328 bibr37-01655515221074328 bibr16-01655515221074328 Ting SL (bibr36-01655515221074328) 2011; 5 Lai S (bibr45-01655515221074328) bibr60-01655515221074328 Krizhevsky A (bibr48-01655515221074328) Velioğlu R (bibr6-01655515221074328) bibr26-01655515221074328 Pennington J (bibr33-01655515221074328) bibr40-01655515221074328 bibr10-01655515221074328 bibr20-01655515221074328 bibr8-01655515221074328 bibr18-01655515221074328 bibr46-01655515221074328 bibr59-01655515221074328 Rieger BB (bibr27-01655515221074328) bibr2-01655515221074328 Wu H (bibr30-01655515221074328) Liwicki M (bibr52-01655515221074328) Brochier R (bibr34-01655515221074328) Eryigit G (bibr21-01655515221074328) bibr25-01655515221074328 Felix G (bibr58-01655515221074328) Le Q (bibr32-01655515221074328) bibr38-01655515221074328 Kaynar O (bibr4-01655515221074328) Yıldırım S (bibr19-01655515221074328) 2018; 22 bibr44-01655515221074328 Türkmen A (bibr11-01655515221074328) Modell J (bibr29-01655515221074328) 1990 bibr24-01655515221074328 Hu B (bibr50-01655515221074328) bibr3-01655515221074328 Weninger F (bibr54-01655515221074328) bibr49-01655515221074328 bibr9-01655515221074328 bibr23-01655515221074328 Sainath T (bibr53-01655515221074328) Erogul U. (bibr13-01655515221074328) 2009 Çoban Ö (bibr5-01655515221074328) 2016 |
| References_xml | – volume: 28 start-page: 1 issue: 1 year: 1989 end-page: 13 article-title: On the representation and processing of prefixed and suffixed derived words: a differential frequency effect publication-title: J Memory Lang – volume: 323 start-page: 533 issue: 6088 year: 1986 end-page: 536 article-title: Learning representations by back-propagating errors publication-title: Nature – volume: 22 start-page: 10 issue: 2 year: 2018 article-title: A comparison of different approaches to document representation in Turkish language publication-title: SDU J Nat Appl Sci – volume: 45 start-page: 5 issue: 1 year: 2001 end-page: 32 article-title: Random forests publication-title: Mach Learn – volume: 44 start-page: 848 issue: 6 year: 2018 end-page: 860 article-title: TREMO: a dataset for emotion analysis in Turkish publication-title: J Inf Sci – volume: 8 start-page: 98 issue: 1 year: 1997 end-page: 113 article-title: Face recognition: a convolutional neural-network approach publication-title: IEEE T Neural Netw – volume: 9 start-page: 1735 issue: 8 year: 1997 end-page: 1780 article-title: Long short-term memory publication-title: Neural Comput – volume: 20 start-page: 273 issue: 3 year: 1995 end-page: 297 article-title: Support-vector networks publication-title: Mach Learn – volume: 57 start-page: 102187 issue: 3 year: 2020 article-title: Karcı summarization: a simple and effective approach for automatic text summarization using Karcı entropy publication-title: Inf Proces Manag – volume: 22 start-page: 106 issue: 2 year: 2016 end-page: 110 article-title: Sentiment analysis with Twitter publication-title: Pamukkale Univ J Eng Sci – volume: 9 start-page: 18 issue: 1 year: 2017 end-page: 24 article-title: TS corpus project: an online Turkish dictionary and TS DIY corpus publication-title: Eur J Lang Liter – volume: 45 start-page: 2673 issue: 11 year: 1997 end-page: 2681 article-title: Bidirectional recurrent neural networks publication-title: IEEE Trans Signal Process – volume: 5 start-page: 37 issue: 3 year: 2011 end-page: 46 article-title: Is Naive Bayes a good classifier for document classification publication-title: Int J Softw Eng Appl – volume: 27 start-page: 221 issue: 3 year: 1987 end-page: 234 article-title: Simplifying decision trees publication-title: Int J Man-Mach Stud – volume: 43 start-page: 174 issue: 2 year: 2017 end-page: 185 article-title: TTC-3600: a new benchmark dataset for Turkish text categorization publication-title: J Inf Sci – volume: 2 start-page: 125 year: 2001 end-page: 137 article-title: Support vector clustering publication-title: J Mach Learn Res – volume: 7 start-page: 183061 year: 2019 end-page: 183069 article-title: Emotion analysis from Turkish tweets using deep neural networks publication-title: IEEE Access – volume: 2 start-page: 92 issue: 2 year: 2018 end-page: 102 article-title: Light gated recurrent units for speech recognition publication-title: IEEE T Emerg Top Comput Intell – volume: 2 start-page: 5 issue: 1 year: 2015 article-title: Sentiment analysis using product review data publication-title: J Big Data – volume: 34 start-page: 181 issue: 2 year: 2019 end-page: 196 article-title: Kelime Temsil Yöntemleri ile Kelime Benzerliklerinin İncelenmesi publication-title: Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi – volume: 316 start-page: 533 issue: 5 year: 2016 end-page: 534 article-title: Logistic regression relating patient characteristics to outcomes publication-title: JAMA – year: 2014 article-title: Learning phrase representations using RNN encoder-decoder for statistical machine translation – volume: 65 start-page: 386 issue: 6 year: 1958 article-title: The perceptron: a probabilistic model for information storage and organization in the brain publication-title: Psychol Rev – volume: 24 start-page: 1433 year: 2021 end-page: 1444 article-title: SSC: clustering of Turkish texts by spectral graph partitioning publication-title: Politeknik Dergisi – ident: bibr24-01655515221074328 doi: 10.1016/j.ipm.2019.102187 – start-page: 93 volume-title: At the threshold: The developing adolescent year: 1990 ident: bibr29-01655515221074328 – start-page: 243 volume-title: Workshop on parallel processing: Logic, organization, and technology ident: bibr27-01655515221074328 – ident: bibr22-01655515221074328 – ident: bibr17-01655515221074328 – volume-title: Advances in neural information processing systems ident: bibr50-01655515221074328 – ident: bibr9-01655515221074328 – volume-title: Machine listening in multisource environments ident: bibr54-01655515221074328 – ident: bibr3-01655515221074328 doi: 10.1177/0165551518761014 – ident: bibr8-01655515221074328 doi: 10.1186/s40537-015-0015-2 – start-page: 1327 volume-title: 22nd signal processing and communications applications conference (SIU) ident: bibr11-01655515221074328 – volume-title: Proceedings of Workshop at ICLR 2013 ident: bibr31-01655515221074328 – volume-title: Turkish Twitter sentiment analysis using text classification techniques year: 2016 ident: bibr5-01655515221074328 – volume-title: IEEE international conference on acoustics, speech and signal processing ident: bibr55-01655515221074328 – volume-title: Comparison of supervised and dictionary based sentiment analysis approaches on Turkish text year: 2013 ident: bibr12-01655515221074328 – volume-title: Sentiment analysis in Turkish year: 2009 ident: bibr13-01655515221074328 – ident: bibr23-01655515221074328 – ident: bibr40-01655515221074328 doi: 10.1007/BF00994018 – ident: bibr43-01655515221074328 doi: 10.1037/h0042519 – volume-title: 26th annual conference on neural information processing systems ident: bibr48-01655515221074328 – ident: bibr49-01655515221074328 doi: 10.1109/72.554195 – start-page: 131 volume-title: Proceedings of the 7th linguistic annotation workshop and interoperability with discourse ident: bibr21-01655515221074328 – volume-title: 9th international conference on document analysis and recognition ident: bibr52-01655515221074328 – ident: bibr16-01655515221074328 doi: 10.2339/politeknik.684558 – ident: bibr20-01655515221074328 – ident: bibr42-01655515221074328 doi: 10.1023/A:1010933404324 – start-page: 2587 volume-title: The world wide web conference ident: bibr34-01655515221074328 – ident: bibr15-01655515221074328 – start-page: 1 volume-title: International artificial intelligence and data processing symposium (IDAP) ident: bibr4-01655515221074328 – start-page: 1532 volume-title: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) ident: bibr33-01655515221074328 – volume-title: 22nd signal processing and communications applications conference (SIU) ident: bibr14-01655515221074328 – ident: bibr57-01655515221074328 doi: 10.3115/v1/D14-1179 – volume: 2 start-page: 125 year: 2001 ident: bibr41-01655515221074328 publication-title: J Mach Learn Res – volume-title: Proceedings of the fifth annual workshop on computational learning theory ident: bibr39-01655515221074328 – ident: bibr38-01655515221074328 doi: 10.1016/S0020-7373(87)80053-6 – volume-title: 15th annual conference of the international speech communication association ident: bibr56-01655515221074328 – ident: bibr18-01655515221074328 doi: 10.26417/ejls.v9i1.p18-24 – ident: bibr2-01655515221074328 doi: 10.1177/0165551515620551 – volume-title: arXiv preprint year: 2016 ident: bibr35-01655515221074328 – start-page: 1 volume-title: IDAP international conference on artificial intelligence and data processing ident: bibr1-01655515221074328 – volume: 5 start-page: 37 issue: 3 year: 2011 ident: bibr36-01655515221074328 publication-title: Int J Softw Eng Appl – volume-title: 31st international conference on machine learning ident: bibr32-01655515221074328 – ident: bibr10-01655515221074328 doi: 10.5505/pajes.2015.37268 – start-page: 2267 volume-title: AAAI conference on artificial intelligence ident: bibr45-01655515221074328 – start-page: 850 volume-title: 9th international conference on artificial neural networks, ICANN’99 ident: bibr58-01655515221074328 – ident: bibr60-01655515221074328 – volume: 22 start-page: 10 issue: 2 year: 2018 ident: bibr19-01655515221074328 publication-title: SDU J Nat Appl Sci – ident: bibr26-01655515221074328 doi: 10.21605/cukurovaummfd.609119 – ident: bibr44-01655515221074328 doi: 10.1038/323533a0 – ident: bibr7-01655515221074328 doi: 10.1109/ACCESS.2019.2960113 – ident: bibr59-01655515221074328 doi: 10.1109/TETCI.2017.2762739 – start-page: 30 volume-title: Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval ident: bibr30-01655515221074328 – ident: bibr25-01655515221074328 – ident: bibr46-01655515221074328 – ident: bibr37-01655515221074328 doi: 10.1001/jama.2016.7653 – volume-title: IEEE international conference on acoustics, speech and signal processing ident: bibr53-01655515221074328 – ident: bibr28-01655515221074328 doi: 10.1016/0749-596X(89)90025-9 – ident: bibr47-01655515221074328 doi: 10.1109/78.650093 – volume-title: 3rd international conference on computer science and application engineering ident: bibr6-01655515221074328 – ident: bibr51-01655515221074328 doi: 10.1162/neco.1997.9.8.1735 |
| SSID | ssj0005934 |
| Score | 2.3882725 |
| Snippet | The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing... |
| SourceID | proquest crossref sage |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1711 |
| SubjectTerms | Algorithms Artificial intelligence Datasets Electronic commerce Natural language processing Websites |
| Title | TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites |
| URI | https://journals.sagepub.com/doi/full/10.1177/01655515221074328 https://www.proquest.com/docview/2892246703 |
| Volume | 49 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELdge-EF8SkKG_IDAonKKHacNOGtoFUDjfGxFBXxEDmOLVBZi9IUBH895_iSdIVNwEvUpo1t-X65O_vufibkAdhoXXLNWaSFYlJaxRKbBswKZYogVIE1DdvncXw4lS9n0azPn2-qS-riif75x7qS_5Eq3AO5uirZf5Bs1yjcgM8gX7iChOH6dzJ-dzL-xn1xObjHwwIG9-lUVfOhS_xcmbpJItTOQf7s65ncngSWqzRxgmxdzR2nkWEwvlOX5DIEveoiyqtz3FZkWm1gg-azA82Pcumc03TiIkBrwFanzsFiumDBe8AN5ujjToMIt7I2ni2_z03FTtS62kg5ajYl44iB5-Wj08YrUvBUWCz9cTytpvXkpIioTbXJR6hxDX71xdC_q_cmwOz6c90J4bJJQywuP0Olffw6n0yPjvLsYJZdJrsC1hCgBHfHH968fdVnAKUhUr_74WPQu-Hj2u7irNvSr0U20v8ajyS7Rq6iTOjY4-I6uWQWN8g-FqLQh_RFLymKKvwm-egx85SOKSCGdoihiBgKz9ANxFCHGIqIodASIob2iKEtYm6R6eQge37I8IANpkMualaIMrZWwypAGrB8mpdCjgobBCUo5igqS6HTSCUiNRImIzClNGHIpY3BpzYxt-FtsrNYLswdQpNAaRXJWBTaSHAbk9LyxBajINAmVlwNSNDOX66Rfd4dgvIl5y3h_PaUD8jj7pGvnnrloj_vtULJ8Q1d5SJJHV8iGLUBeeQE1f90bkN3L27oHrnSvxp7ZKeu1mYf3NK6uI_w-gUVRIgN |
| linkProvider | SAGE Publications |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LSwMxEB60HvTiW6xWzUEUhEiSzW633ooo9YmPCoqHJZtNqKhV2q0Hf72TNmtVVMTrbhKSTDLz7eabLwDrGKN1xjWnoRaKSmkVjW2NUSuUSVmgmDV9tc_TqHElD6_Da8-qdLkwfga7245WhT3qO-v33e2UkngUYpRH2OCohIGIR2EsdqqYJRir35ydnwwJHrXAK3uH1NXwZ5rfNvI5Kg2h5gd2Vz_g7E_BbdHVAc_kfruXYy9fv6g4_m8s0zDpcSipDxbODIyY9iys-CwGskF8mpIzG_H7fw5umxeX9Re-Q-oE0ThJ8WnrUXXuieOZdk1OsA7RDo_f9dOniPsFQrzgKcGWmr0OAtYWMRQ7-eg4NQTduDvA7s7D1f5ec7dB_e0MVAdc5DQVWWStRggpDbpNzTMhq6llLMNdHYZZJnQtVLGoGYljZCaTJgi4tBECMhNxGyxAqf3UNotAYqa0CmUkUm0kYo44szy2aZUxbSLFVRlYYZ1Ee-lyd4PGQ8ILtfKvM1mGrfcqzwPdjt8KVwqTJ4XREvwSdWJ76BHLsOksOHz1Y0NLfy65BuON5slxcnxwerQME-4S-wFJpgKlvNMzKwh18nTVr-k32vfuig |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB5RkFAvlKfY8vIBgVTJYDtOyHJbASv6AEFZJCoOkeOHQJQF7WZ76K_vzK7TBUSrqtcktmyPPfPF_uYzwCbGaOuklTy1ynCtg-F5aAoelPGlSIwIfqj2eZodX-pPV-lV3HCjXJg4gv0dolVhi4bOmlb3owu78Yxxl1JwMNIjdCA6YaLyNzCFgYoA0lTr29n5yZjk0UyiunfKqUQ813y1kueRaQw3nzC8hkGn_Q6KurkjrsndzqDClv58oeT4__2ZhZmIR1lrNIHmYMJ352EtZjOwLRbTlch8LPqBBbjufL1o_ZD7rMUQlbMSn97cm94dI75p31cMyzBLuPx2mEbFaCuEReFThjV1Bj0ErjfMc2zoPXFrGLpzOsjuL8Jl-6hzcMzjLQ3cJlJVvFQuC8EilNQe3aeVTum9MgjhcHWnqXPKNlOTq6bX2EfhnfZJInXIEJj5TIZkCSa7D12_DCwXxppUZ6q0XiP2yF2QeSj3hLA-M9I0QNQWKmyUMKebNL4XslYtfzmSDfjwu8jjSL_jbx-v1mYvasMV-EdKonvoGRuwTVYcv_pjRe__-csNmD47bBdfPp5-XoG3dJf9iCuzCpNVb-DXEPFU5Xqc1r8A1_Xw_w |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=TRSAv1%3A+A+new+benchmark+dataset+for+classifying+user+reviews+on+Turkish+e-commerce+websites&rft.jtitle=Journal+of+information+science&rft.au=Aydo%C4%9Fan+Murat&rft.au=Kocaman+Veysel&rft.date=2023-12-01&rft.pub=Bowker-Saur+Ltd&rft.issn=0165-5515&rft.eissn=1741-6485&rft.volume=49&rft.issue=6&rft.spage=1711&rft.epage=1725&rft_id=info:doi/10.1177%2F01655515221074328&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0165-5515&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0165-5515&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0165-5515&client=summon |