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Hits 1 – 20 of 14.287
1
The Psychological Effects of Digital Companies’ Employees during the Phase of COVID-19 Pandemic Extracted from Online Employee Reviews
Zhuo-Ming Ren; Wen-Li Du; Xing-Zhang Wen
In: Sustainability; Volume 14; Issue 5; Pages: 2609 (2022)
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2
Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model
Yanyan Chen; Yumei Zhong; Sumin Yu; Yan Xiao; Sining Chen
In: Applied Sciences; Volume 12; Issue 2; Pages: 692 (2022)
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3
Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
Chia-Hsien Weng; Kuan-Cheng Lin; Jia-Ching Ying
In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
Abstract:
The advancement of the Internet has changed people’s ways of expressing and sharing their views with the world. Moreover, user-generated content has become a primary guide for customer purchasing decisions. Therefore, motivated by commercial interest, some sellers have started manipulating Internet ratings by writing false positive reviews to encourage the sale of their goods and writing false negative reviews to discredit competitors. These reviews are generally referred to as deceptive reviews. Deceptive reviews mislead customers in purchasing goods that are inconsistent with online information and thus obstruct fair competition among businesses. To protect the right of consumers and sellers, an effective method is required to automate the detection of misleading reviews. Previously developed methods of translating text into feature vectors usually fail to interpret polysemous words, which leads to such functions being obstructed. By using dynamic feature vectors, the present study developed several misleading review-detection models for the Chinese language. The developed models were then compared with the standard detection-efficiency models. The deceptive reviews collected from various online forums in Taiwan by previous studies were used to test the models. The results showed that the models proposed in this study can achieve 0.92 in terms of precision, 0.91 in terms of recall, and 0.91 in terms of F1-score. The improvement rate of our proposal is higher than 20%. Accordingly, we prove that our proposal demonstrated improved performance in detecting misleading reviews, and the models based on dynamic feature vectors were capable of more accurately capturing semantic terms than the conventional models based on the static feature vectors, thereby enhancing effectiveness.
Keyword:
BERT
;
deep learning
;
detection of deceptive reviews
;
language model
;
natural language processing
URL:
https://doi.org/10.3390/app12073338
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4
Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs
Bahrad A. Sokhansanj; Gail L. Rosen
In: Applied Sciences; Volume 12; Issue 7; Pages: 3656 (2022)
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5
Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis
Ala’ M. Al-Zoubi; Antonio M. Mora; Hossam Faris
In: Applied Sciences; Volume 12; Issue 7; Pages: 3634 (2022)
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6
Review of Creating orthographies for endangered languages.
Hauk, Bryn
. - : University of Hawaii Press, 2022
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7
[Ressenya del llibre] Julià-Muné, Joan (2019): Un segle de lingüística catalana: de la Lletra de convit a la GCC (1901- 2002). Lleida: Edicions de la Universitat de Lleida, 256 p
Feliu, Francesc
In: Estudis romànics, 2022, vol. 44, p. 493-495 ; Ressenyes publicades (D-FLC) (2022)
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8
Beke Hansen: Corpus linguistics and sociolinguistics. Leiden: Brill Rodopi, 2018
Westphal, Michael
In:
English language and linguistics. - Cambridge : Cambridge Univ. Press
25 (2021) 1, 205-210
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9
Jana Štefaňáková: Rodovo symetrický jazyk v slovenskom a nemeckom jazykovom prostredí v kontexte európskej rodovej politiky a gender mainstreamingu. Univerzita Mateja Bela v Banskej Bystrici: Belianum, 2020
Kolek, Vit
In:
Ostravská univerzita / Filozofická fakulta. Studia Germanistica. - Ostrava : Univ.
28 (2021), 137-139
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10
M. Silvia Micheli: Composizione italiana in diacronia. Berlin: De Gruyter, 2020
Rainer, Franz
In:
Romanische Forschungen. - Frankfurt, M. : Klostermann
133 (2021) 4, 521-529
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11
Paula Rodríguez-Puente: The English phrasal verb, 1650-present. Cambridge: Cambridge University Press, 2019
Claridge, Claudia
In:
English language and linguistics. - Cambridge : Cambridge Univ. Press
25 (2021) 2, 413-418
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12
Thomas Brunner: Simplicity and typological effects in the emergence of New Englishes. Berlin: De Gruyter Mouton, 2017
Oppliger, Rahel
In:
English world-wide. - Amsterdam [u.a.] : Benjamins
42 (2021) 2, 227-231
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13
Ana Estrada Arráez: The loss of intervocalic /d/ in European Peninsular Spanish. Salamanca: Ediciones Universidad de Salamanca, 2019
Zampaulo, André
In:
Revue de linguistique romane. - Strasbourg : Soc. de Linguistique Romane
85 (2021) 339-340, 558-560
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14
Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ... : Adaptive competences of children with Down syndrome - a ten-year follow-up ...
Sarimski, Klaus
. - : Pabst Science Publishers, 2021
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15
Predicting emotional links between genre, plot, and reader response ...
Sharma, Srishti
. - : Open Science Framework, 2021
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16
Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ; Adaptive competences of children with Down syndrome - a ten-year follow-up
Sarimski, Klaus
In: Empirische Sonderpädagogik 13 (2021) 2, S. 100-109 (2021)
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17
School-based language and literacy interventions for multilingual children and adolescents: A systematic evidence map and an overview of reviews ...
von Hagen, Alexa
. - : Open Science Framework, 2021
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18
Sentiment analysis in Galaxy with IMDB movie review dataset ...
Kaivan Kamali
. - : Zenodo, 2021
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19
Sentiment analysis in Galaxy with IMDB movie review dataset ...
Kaivan Kamali
. - : Zenodo, 2021
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20
E se a marca me responde com emoji?: impacto das características da CMC na perceção e atitudes face à marca
Cruz, Sara Catarina Pires Antunes
. - 2021
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