Results 51 to 60 of about 4,133 (219)

Restoran Müşterilerinin Geri Bildirimleri Üzerinde Hedef Kategorinin Tespiti ve Hedef Tabanlı Duygu Analizi

SDÜ Vizyoner Dergisi, 2023
Günümüzde tüketicilerin ürün ve hizmetler konusunda fikir paylaşabilecekleri birçok mecra bulunmaktadır. Bu fikirler, geri bildirimin yapısı itibariyle genellikle metin formatındadır.
Murat Fatih Tuna, Mesut Polatgil, Oğuz Kaynar   +2 more
doaj   +1 more source

Evaluating Concerning Behavior of Fixated Individuals

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Fixated individuals who send repeated concerning communications to public figures pose a significant challenge, particularly when such communications escalate to approach or violence. The present study examined associations between three sources of threat assessment information—motivational type, structured professional judgment (CTAP‐25), and
Isabelle van der Vegt, Bennett Kleinberg, Bram Sizoo   +2 more
wiley   +1 more source

From Words to Actions: The Impact of Specificity and Causality in Narrative Feedback on Employee Performance Improvement Des paroles aux actes : incidence de la spécificité et de la causalité dans la rétroaction narrative sur l'amélioration du rendement des employés

Contemporary Accounting Research, EarlyView.
ABSTRACT With the widespread use of narrative feedback in companies, understanding how such feedback can be valuable for employee performance improvement is important. Drawing on proprietary data from an e‐commerce company, we investigate the role of specificity and causality—two key language characteristics for self‐regulation and learning.
Jan Lampe, Utz Schäffer, Daniel Schaupp
wiley   +1 more source

How do visual and conceptual factors predict the object content in typical scene drawings?

British Journal of Psychology, EarlyView.
Abstract Imagine you draw a typical bedroom, your choice of objects is likely to depend on visual occurrence statistics (i.e. the objects present in previously encountered bedrooms) and semantic relations between objects and scenes (i.e. the semantic relationship between the bedroom and its constituent objects).
Gongting Wang, Ilker Duymaz, Matthew J. Foxwell, Micha Engeser, David Pitcher, Radoslaw M. Cichy, Daniel Kaiser   +6 more
wiley   +1 more source

Automated Alignment of Math Items to Content Standards in Large‐Scale Assessments Using Language Models

Educational Measurement: Issues and Practice, Volume 45, Issue 3, Fall 2026.
Abstract Accurate alignment of items to content standards is critical for valid score interpretation in large‐scale assessments. This study evaluates three automated paradigms for aligning Math items with four domain labels and nineteen skill labels.
Qingshu Xu, Hong Jiao, Tianyi Zhou, Ming Li, Nan Zhang, Sydney Peters, Yanbin Fu   +6 more
wiley   +1 more source

Performance Evaluation of Word2Vec and FastText Embeddings in a CNN-BiLSTM Model for Sentiment Classification of the LPDP Alumni Controversy

Journal of Applied Informatics and Computing
This study aims to analyze public sentiment toward the LPDP alumni controversy on social media using a deep learning approach. The research data consist of YouTube user comments related to the LPDP issue, which were processed through text preprocessing ...
Dwi Erzalianti, Joice Junansi Tandirerung, Cici Suhaeni, Bagus Sartono   +3 more
doaj   +1 more source

Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT The opioid overdose epidemic constitutes a critical public health crisis, necessitating advanced surveillance tools to enable timely intervention. Social media platforms provide a real‐time source of information on drug‐related behaviours. However, extracting structured knowledge from their informal, slang‐heavy and fragmented text presents ...
Muhammad Ahmad, Rita Orji, Fida Ullah, Ildar Batyrshin, Grigori Sidorov   +4 more
wiley   +1 more source

Hierarchical Classification Algorithm Based on FastText

DEStech Transactions on Environment, Energy and Earth Sciences, 2019
At present, methods for automatic assigning labels for literature using the Chinese Library Classification system are mostly based on machine learning methods, and many use the build knowledge base to improve classification effect. These methods are applicable to small-scale dataset, and as the categorical numbers increase, the classification effect ...
Yaxin RAN, Hongqi HAN, Yunliang ZHANG, Xiaorui ZHAI, Mengjuan WENG   +4 more
openaire   +2 more sources

Information Retrieval Method for the Qur’an based on FastText and Latent Semantic Indexing

Sistemasi: Jurnal Sistem Informasi
Retrieving contextually relevant verses from the Al-Qur'an translation dataset presents significant challenges due to the linguistic richness and semantic variation of the text.
aziz ramadhan, Fandy Setyo Utomo
doaj   +1 more source

Digital Authorship Attribution in Russian-Language Fanfiction and Classical Literature

Algorithms, 2022
This article is the third paper in a series aimed at the establishment of the authorship of Russian-language texts. This paper considers methods for determining the authorship of classical Russian literary texts, as well as fanfiction texts.
Anastasia Fedotova, Aleksandr Romanov, Anna Kurtukova, Alexander Shelupanov   +3 more
doaj   +1 more source