Results 91 to 100 of about 4,321 (229)
LLM‐Assisted Topic Modelling for Hate Speech Characterization
Expert Systems, Volume 43, Issue 7, July 2026.ABSTRACT In the digital era, the internet and social media have transformed communication but have also facilitated the spread of hate speech and disinformation, leading to radicalization, polarisation and toxicity. This is especially concerning for media outlets due to their significant role in shaping public discourse. This study examines the topics,
Alejandro Buitrago López +2 more
wiley +1 more source
Lexicon-Enhanced Neural Lemmatization for Estonian
, 2020 The problem of lemmatization, i.e. recovering the normal, or dictionary form of a word from the text, is one of the crucial parts of the natural language processing applications. It is important for the text preprocessing which is the step of cleaning
Milintsevich, Kirill
core
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources
, 2021 We propose a novel hybrid approach to lemmatization that enhances the seq2seq neural model with additional lemmas extracted from an external lexicon or a rule-based system.
Milintsevich, Kirill, Sirts, Kairit
core +1 more source
Applied AI Letters, Volume 7, Issue 2, June 2026.Industry Driven Competencies for MBA – Marketign Graduates. ABSTRACT In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers.
Latha Arumugham +3 more
wiley +1 more source
Sentence Retrieval using Stemming and Lemmatization with Different Length of the Queries [PDF]
, 2020 In this paper we focus on Sentence retrieval which is similar to Document retrieval but with a smaller unit of retrieval. Using data pre-processing in document retrieval is generally considered useful. When it comes to sentence retrieval the situation is
Doko, Alen, Gotovac, Sven, Boban, Ivan
core +1 more source
European Journal of Social Psychology, Volume 56, Issue 4, Page 713-725, June 2026.ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley +1 more source
Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike [PDF]
, 2009 We propose a method to automatically train lemmatization rules that handle prefix, infix and suffix changes to generate the lemma from the full form of a word. We explain how the lemmatization rules are created and how the lemmatizer works.
Bart Jongejan +5 more
core +1 more source
Umanistica DigitaleThe Latin Text Archive (LTA) is an online platform hosted by the Berlin-Brandenburg Academy of Sciences (BBAW) since 2020 (https://LTA.bbaw.de). Its primary objective is to facilitate computer-assisted semantic analysis of Latin texts and corpora ...
Tim Geelhaar
doaj +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.This study presents a comprehensive analysis of Bengali AI resources, including NLP tools, machine translation systems, speech technologies, and benchmarking datasets. The findings highlight fragmented development across tasks and emphasize the need for integrated resources, unified benchmarks, and multimodal datasets to build a scalable and robust ...
Fairooz Maliha +5 more
wiley +1 more source
Digital Guardianship: Innovative Strategies in Preserving Armenian’s Epigraphic Legacy
HeritageIn the face of geopolitical threats in Artsakh, the preservation of Armenia’s epigraphic heritage has become a mission of both historical and cultural urgency.
Hamest Tamrazyan, Gayane Hovhannisyan
doaj +1 more source