Results 121 to 130 of about 10,729 (237)

Sentiment Analysis of Citations Using Word2vec

CoRR, 2017
Citation sentiment analysis is an important task in scientific paper analysis. Existing machine learning techniques for citation sentiment analysis are focusing on labor-intensive feature engineering, which requires large annotated corpus. As an automatic feature extraction tool, word2vec has been successfully applied to sentiment analysis of short ...
openaire   +2 more sources

Relational Memory Reconsolidation: A New Lens on Change Mechanisms in EFT for Couples

Family Process, Volume 65, Issue 2, June 2026.
ABSTRACT This paper presents a new framework to account for change mechanisms in Emotion‐Focused Therapy for Couples (EFT). Building on Lane et al.'s (2015) integrated memory model, the Relational Memory Reconsolidation model described here posits that EFT reshapes partners' relational memory structures through emotionally intense moments of expressed ...
Avishai Ella, Eran Bar‐Kalifa
wiley   +1 more source

Semantic Difference Keywords - word2vec embeddings

, 2023
Embeddings from word2vec model described in "From Diachronic to Contextual Lexical Semantic Change: Introducing Semantic Difference Keywords (SDKs) for Discourse Studies".
Gribomont, Isabelle
core  

Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics

Proceedings
Timely and precise acquisition of urban functional zone (UFZ) information is crucial for effective urban planning, management, and resource allocation.
Daoyou Zhu, Xu Dang, Wenjia Shi, Yixiang Chen, Wenmei Li   +4 more
doaj   +1 more source

Narratives Contextualizing Numeric Disclosures: Insights From Earnings Calls

Journal of Business Finance &Accounting, Volume 53, Issue 3, Page 1263-1286, June 2026.
ABSTRACT We investigate how narrative disclosures during earnings conference calls (ECCs) provide context for quantitative numeric disclosures in quarterly earnings releases, enhancing their informativeness. Drawing on a large sample of 34,918 quarterly ECCs from 1621 US‐listed firms from 2007 to 2020, we extract interpretable textual attributes—such ...
Imelda Taraj, Ranik Raaen Wahlstrøm
wiley   +1 more source

Similar moral values, different agendas: U.S. politicians' use of moral language is issue‐specific

Political Psychology, Volume 47, Issue 3, June 2026.
Abstract We used Structured Topic Models (STM) combined with a word embedding model to examine U.S. politicians' use of moral language and identify the issues Democrats and Republicans moralize most on X (formerly Twitter). Analyzing 1,578,057 posts from U.S.
Éloïse Côté, Sze‐Yuh Nina Wang, Yoel Inbar   +2 more
wiley   +1 more source

Word2Vec: Um algoritmo saussuriano

This article proposes an interpretation of the functioning of Word2Vec, an algorithm for generating word embeddings, in light of Ferdinand de Saussure’s Theory of Value (TdV).
Giamarusti, Leonardo
core   +1 more source

NCHLT Afrikaans word2vec-Skipgram embeddings

, 2023
Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core  

NCHLT Sesotho word2vec-CBOW embeddings

, 2023
Static word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core  

Automatic Argumentative-Zoning Using Word2vec

CoRR, 2017
In comparison with document summarization on the articles from social media and newswire, argumentative zoning (AZ) is an important task in scientific paper analysis. Traditional methodology to carry on this task relies on feature engineering from different levels.
openaire   +2 more sources