Results 51 to 60 of about 4,321 (229)

Semi-Automatic Annotation of Babylonian Cuneiform Texts

open access: yesJournal of Open Humanities Data
This article presents the methods and workflow for semi-automatic linguistic annotation of Akkadian cuneiform texts and a Neo-Babylonian corpus created with them.
Tero Alstola   +3 more
doaj   +1 more source

Lemmatization for Ancient Greek [PDF]

open access: yesJournal of Greek Linguistics, 2020
Abstract This article presents the result of accuracy tests for currently available Ancient Greek lemmatizers and recently published lemmatized corpora. We ran a blinded experiment in which three highly proficient readers of Ancient Greek evaluated the output of the CLTK lemmatizer, of the CLTK backoff lemmatizer, and of GLEM, together with the ...
Alessandro Vatri, Barbara McGillivray
openaire   +1 more source

Exploring Green Entrepreneurship: Clarifying Conceptual Overlaps and Distinctions With Sustainability‐Related Entrepreneurship

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Increasing global emphasis on sustainability has positioned green entrepreneurship as a key mechanism for aligning business with environmental responsibility. Despite growing research, green entrepreneurship remains conceptually fragmented, with overlapping constructs and inconsistent definitions, which may have constrained theoretical and ...
Alexandra Elena Carst   +1 more
wiley   +1 more source

Adaptive learning for lemmatization in morphology analysis

open access: yes, 2014
Morphological analysis is used to study the internal structure words by reducing the number of vocabularies used while retaining the semantic meaning of the knowledge in NLP system.
Azman, Azreen   +9 more
core   +1 more source

Modeling Topics in DFA-Based Lemmatized Gujarati Text

open access: yesSensors, 2023
Topic modeling is a machine learning algorithm based on statistics that follows unsupervised machine learning techniques for mapping a high-dimensional corpus to a low-dimensional topical subspace, but it could be better.
Uttam Chauhan   +9 more
doaj   +1 more source

Lemmatization in Balinese Language

open access: yesJELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 2020
Lemmatization is a process to extracting root word from an affixed word with the aim of reducing variations of the word into the root word. Previous researches on extraction of root word in Balinese Language has been done with rule- based methods to remove affixes from words.
Ngurah Agus Sanjaya ER   +1 more
openaire   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham   +2 more
wiley   +1 more source

Slovak Lemmatization

open access: yes, 2016
Aim of this bachelor thesis was to become familiar with the tools and methods for morphological analysis and lemmatization of words, to design and to implement a system for lemmatization of slovak words, which are not in dictionary and then to write ...
Lipták, Šimon
core   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee   +3 more
wiley   +1 more source

Context based lemmatizer for Polish language

open access: yesCoRR, 2022
Lemmatization is the process of grouping together the inflected forms of a word so they can be analysed as a single item, identified by the word's lemma, or dictionary form. In computational linguistics, lemmatisation is the algorithmic process of determining the lemma of a word based on its intended meaning.
Michal Karwatowski, Marcin Pietron
openaire   +2 more sources

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