Results 101 to 110 of about 4,133 (219)

NCHLT isiXhosa fastText-Skipgram embeddings

, 2023
Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core  

NCHLT isiNdebele fastText-Skipgram embeddings

, 2023
Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core   +1 more source

Exploring Swedish & English fastText Embeddings

, 2022
In this paper, we show that embeddings from relatively smaller corpora sometimes outperform thosefrom larger corpora and we introduce a new Swedish analogy test set and make it publicly available.To achieve good performance in Natural Language Processing (NLP) downstream tasks, several factorsplay important roles: dataset size, the right hyper ...
Adewumi, Oluwatosin, Liwicki, Foteini, Liwicki, Marcus   +2 more
openaire   +1 more source

Kubord-fasttext - Dagens Nyheter 2010–2024 - lemma

Kubord-fasttext is a collection of fasttext models, developed within a collaboration between KBLab and Språkbanken Text, that have been trained on the same underlying data as Kubord 2. The models have been trained on the token and the lemma level.
https://ror.org/03xfh2n14
core   +1 more source

A Comparative Study of Embedding Techniques and Classifiers for Aspect-Based Sentiment Analysis of Shopee Reviews

Techno.Com
E-commerce platforms like Shopee generate massive volumes of user reviews that contain valuable insights about products, services, and user experiences.
Jutono Gondohanindijo
doaj   +1 more source

Kubord-fasttext - Göteborgsposten 2013–2022 - token

Kubord-fasttext is a collection of fasttext models, developed within a collaboration between KBLab and Språkbanken Text, that have been trained on the same underlying data as Kubord 2. The models have been trained on the token and the lemma level.
https://ror.org/03xfh2n14
core   +1 more source

AN AUTOMATED NEW APPROACH IN FAST TEXT CLASSIFICATION: A CASE STUDY FOR KURDISH TEXT

Science Journal of University of Zakho
With the rapid development of internet technology, text classification has become a vital part of obtaining quick and accurate data. Traditional machine learning methods often suffer from poor performance and high-dimensional feature spaces, which ...
Ari M. Saeed
doaj   +1 more source

Kubord-fasttext - Dagens Nyheter 2010–2022 - lemma

Kubord-fasttext is a collection of fasttext models, developed within a collaboration between KBLab and Språkbanken Text, that have been trained on the same underlying data as Kubord 2. The models have been trained on the token and the lemma level.
https://ror.org/03xfh2n14
core   +1 more source

Support Vector Machine with FastText Word Embedding for Hate Speech Aspect Categorization

Paradigma
Freedom of expression on Twitter often leads to issues such as hate speech, which may include provocation, incitement, or insults based on race, religion, gender, and other aspects.
Aida Milati Mardiana, Imam Fahrur Rozi, Rudy Arianto   +2 more
doaj   +1 more source

NCHLT Xitsonga fastText-Skipgram embeddings

, 2023
Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core   +1 more source