Results 11 to 20 of about 30,779 (289)

Internet search and lexical-semantic processing of analogs when making decisions in various subject areas

Informatika, 2021
A mathematical model of Internet search and lexical-semantic processing of analogs of the decisions made in various subject areas is proposed. The search is carried out on queries synthesized from descriptions of problem situations. The synthesis process
S. F. Lipnitsky
doaj   +1 more source

Sentiment Analysis of Social Networking Data Using Categorized Dictionary [PDF]

Journal of Information Technology Management, 2020
Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task.
Akansha Singh, Aastha Sharma, Krishna Singh, Anuradha Dhull   +3 more
doaj   +1 more source

Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary

Journal of Banking and Financial Economics, 2021
Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English-speaking content. This is due to the need for domain-specific dictionaries and the primary availability of those in English.
Matthias Pöferlein
doaj   +1 more source

Implementing Sentiment Dictionary into Vader Sentiment Analyis for Croatian [PDF]

, 2021
We describe the processes of 1) sequential propagation of sentiment values of nouns, adjectives, verbs and proper nouns from the multilingual SenticNet 6 sentiment dictionary using ENGRI corpus coordination syntactic- dependency ; 2) extrapolation of lemma values to word forms ; 3) implementation of the generated sentiment dictionary and Vader rule ...
Ban Kirigin, Tajana, Bujačić Babić, Sanda, Perak, Benedikt   +2 more
openaire   +3 more sources

Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets

IEEE Access, 2019
Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Jiesheng Wu, Kui Lu, Shuzhi Su, Shibing Wang   +3 more
doaj   +1 more source

A framework for applying natural language processing in digital health interventions [PDF]

, 2020
BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence ...
Balantekin, Katherine N, Eichen, Dawn M, Firebaugh, Marie-Laure, Fitzsimmons-Craft, Ellen E, Flatt, Rachael E, Funk, Burkhardt, Goel, Neha J, Graham, Andrea K, Hoogendoorn, Mark, Jacobi, Corinna, Monterubio, Grace E, Sadeh-Sharvit, Shiri, Taylor, C Barr, Trockel, Mickey Todd, Wilfley, Denise E   +14 more
core   +3 more sources

A fuzzy-based approach for classifying students' emotional states in online collaborative work [PDF]

, 2016
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Arguedas, Marta, Caballé Llobet, Santiago, Casillas, Luis, Daradoumis, Thanasis, Peña, Adriana, Xhafa Xhafa, Fatos   +5 more
core   +1 more source

Construction of a sentimental word dictionary [PDF]

Proceedings of the 19th ACM international conference on Information and knowledge management, 2010
The Web has plenty of reviews, comments and reports about products, services, government policies, institutions, etc. The opinions expressed in these reviews influence how people regard these entities. For example, a product with consistently good reviews is likely to sell well, while a product with numerous bad reviews is likely to sell poorly.
Eduard C. Dragut, Clement Yu, Prasad Sistla, Weiyi Meng   +3 more
openaire   +1 more source

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods [PDF]

, 2016
In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to this theme have been developed.
A Abbasi, A Esuli, A Hannak, A Tamersoy, A Tumasjan, AB Warriner, ADI Kramer, B Liu, B Pang, B Pang, C Biever, C Hutto, C Levallois, C Strapparava, D Garcia, D Tang, D Watson, DH Wolpert, E Cambria, E Cambria, E Kouloumpis, GA Miller, H Wang, J Reis, J Reis, J Wiebe, JR Landis, M Araujo, M Brysbaert, M Cha, M Hu, M Taboada, M Taboada, M Taboada, M Tsytsarau, ML Berenson, N Godbole, N Kalchbrenner, N Oliveira, N Pappas, N Pappas, NA Diakopoulos, P Gonçalves, P Nakov, PJ Stone, PS Dodds, PS Dodds, R Feldman, R Jain, R Johnson, R Plutchik, R Snow, R Socher, R Valitutti, S Baccianella, S Mohammad, S Mohammad, S Mohammad, S Narr, SM Mohammad, T Smedt De, T Wilson, T Wilson, YR Tausczik   +63 more
core   +2 more sources

iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries [PDF]

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis. Our system is designed to solve all four subtasks: (i) identifying aspect terms, (ii) determining the polarity of an aspect term, (iii) detecting aspect categories, and (iv) determining the polarity of a predefined aspect category.
Fritjof Bornebusch, Glaucia Cancino, Melanie Diepenbeck, Rolf Drechsler, Smith Djomkam, Alvine Nzeungang Fanseu, Maryam Jalali, Marc Michael, Jamal Mohsen, Max Nitze, Christina Plump, Mathias Soeken, Fred Tchambo, null Toni, Henning Ziegler   +14 more
openaire   +1 more source