Results 31 to 40 of about 12,623 (228)

Feature Expansion Word2Vec for Sentiment Analysis of Public Policy in Twitter

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Social media users, especially on Twitter, can freely express opinions or other information in the form of tweets about anything, including responding to a public policy.
Alvi Rahmy Royyan, Erwin Budi Setiawan
doaj   +1 more source

HOAX DETECTION IN INDONESIA LANGUAGE USING LONG SHORT-TERM MEMORY MODEL

Jurnal Ilmiah SINERGI, 2020
Nowadays, the internet and social media grow fast. This condition has positive and negative effects on society. They become media to communicate and share information without limitation.
Andi Apriliyanto, Retno Kusumaningrum
doaj   +1 more source

Models of lexical semantics in the algorithms for natural language processing [PDF]

Zbornik Radova Filozofskog Fakulteta u Prištini, 2021
The aim of this study was to determine whether some of the approaches of lexical semantics for studying word meaning could be identified in word2vec and recurrent neural networks (RNN), the algorithms for natural language processing (NLP).
Dilparić Branislava M., Perović Nina S.   +1 more
doaj   +1 more source

Word2vec Conjecture and A Limitative Result

CoRR, 2020
Being inspired by the success of \texttt{word2vec} \citep{mikolov2013distributed} in capturing analogies, we study the conjecture that analogical relations can be represented by vector spaces. Unlike many previous works that focus on the distributional semantic aspect of \texttt{word2vec}, we study the purely \emph{representational} question: can \emph{
openaire   +3 more sources

How to Develop Reliable Instruments to Measure the Cultural Evolution of Preferences and Feelings in History?

Frontiers in Psychology, 2022
While we cannot directly measure the psychological preferences of individuals, and the moral, emotional, and cognitive tendencies of people from the past, we can use cultural artifacts as a window to the zeitgeist of societies in particular historical ...
Mauricio de Jesus Dias Martins, Nicolas Baumard   +1 more
doaj   +1 more source

Lemmatized English Word2Vec data

, 2021
# Lemmatized English Word2Vec data This is a version of the original GoogleNews-vectors-negative300 Word2Vec embeddings for English. In addition, we provide the following modified files: - converted to conventional CSV format (and gzipped ...
Tomas Mikolov et al., Christian Chiarcos
core   +1 more source

Word embedding for social sciences: an interdisciplinary survey [PDF]

PeerJ Computer Science
Machine learning models learn low-dimensional representations from complex high-dimensional data. Not only computer science but also social science has benefited from the advancement of these powerful tools.
Akira Matsui, Emilio Ferrara
doaj   +2 more sources

Penerapan Metode Long Short-Term Memory dan Word2Vec dalam Analisis Sentimen Ulasan pada Aplikasi Ferizy

Techno.Com, 2023
Tranportasi merupakan hal yang penting bagi masyarakat dalam mobilitas sehari-hari. Karena memiliki peranan penting dan dapat memudahkan kehidupan masyarakat, pemerintah mulai mengoptimalkan pembangunan sarana transportasi dan memulai inovasi digital ...
Mega Vebika Shyahrin, Yuliant Sibaroni, Diyas Puspandari   +2 more
doaj   +1 more source

Des mélodies aux hauteurs des notes à l’aide de word2vec [PDF]

Applying the word2vec technique, commonly used in language modeling, to melodies, where notes are treated as words in sentences, enables the capture of pitch information. This study examines two datasets: 20 children's songs and an excerpt from a Bach
Defays, Daniel
core   +1 more source

dataset-word2vec features.xlsx

, 2022
Word2vec feature ...
Shahid Iqbal (13129134)
core   +1 more source