Results 71 to 80 of about 46,318 (263)
Sentiment Analysis‐Based Model for Monitoring User Engagement With Mental Health Chatbots
Engineering Reports, Volume 7, Issue 6, June 2025.Analyzing 82 102 mental health chatbot reviews, this study found Stochastic Gradient Descent with 93% accuracy as it best classified user sentiment, revealing reliability and content as engagement drivers. Sentiment analysis enhances chatbot design for better mental health support.
Ian Igado Mmbayi +2 more
wiley +1 more source
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
Open Computer Science, 2019 Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’.
Maldonado Alfredo +2 more
doaj +1 more source
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition
Cognitive Studies | Études cognitives, 2015 Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition The paper describes a system of lexico-semantic relations proposed for the nominal part of plWordNet 2.0 – the largest Polish wordnet.
Marek Maziarz +3 more
doaj +1 more source
Intelligent Systems in Accounting, Finance and Management, Volume 32, Issue 2, June 2025.ABSTRACT This study explores the wealth of information inherent in online employee reviews as an emerging resource in academic research. The focus is on the fields of finance, accounting, economics, and management, with an emphasis on how employee reviews contribute to our understanding of these areas.
Nils Gimpl
wiley +1 more source
Persian Wordnet Construction using Supervised Learning
International Journal of Information and Communication Technology Research, 2017 This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated.
Zahra Mousavi +2 more
doaj
The data-driven Bulgarian WordNet: BTBWN
Cognitive Studies | Études cognitives, 2018 The data-driven Bulgarian WordNet: BTBWN The paper presents our work towards the simultaneous creation of a data-driven WordNet for Bulgarian and a manually annotated treebank with semantic information.
Petya Osenova, Kiril Simov
doaj +1 more source
, 2019 Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an expensive manual process. Therefore it would be beneficial to have a high-quality automatic translation approach that would support NLP ...
Arcan, Mihael +2 more
openaire +2 more sources
Integrating WordNet and Wiktionary with lemon [PDF]
, 2012 Nowadays, there is a significant quantity of linguistic data available on the Web. However, linguistic resources are often published using proprietary formats and, as such, it can be difficult to interface with one another and they end up confined in “data silos”.
McCrae, John +5 more
openaire +3 more sources
The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach
Cognitive Studies | Études cognitives, 2018 The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach The paper presents an attempt at semantic classification of adjectives in the Bulgarian wordnet.
Tsvetana Dimitrova, Valentina Stefanova
doaj +1 more source
Development of Punjabi WordNet [PDF]
CSI Transactions on ICT, 2013 Natural language processing (NLP) tasks such as word sense disambiguation, machine translation (MT) and part-of-speech tagging etc. require large scale lexical resources. These lexical resources have already been developed for digitally advanced languages, such as English, but yet to be developed for widely spoken but digitally young languages, such as
Parteek Kumar +2 more
openaire +2 more sources