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Modeling Word Emotion in Historical Language: Quantity Beats Supposed
Stability in Seed Word Selection

v1v2 (latest)

Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection

21 June 2018

Johannes Hellrich

ArXiv (abs)PDF HTML

Papers citing "Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection"

3 / 3 papers shown

Survey in Characterization of Semantic Change

Survey in Characterization of Semantic Change

Jader Martins Camboim de Sá

Marcos Da Silveira

389

11

0

29 Feb 2024

Analyzing the Surprising Variability in Word Embedding Stability Across
Languages

Analyzing the Surprising Variability in Word Embedding Stability Across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020

Jonathan K. Kummerfeld

Amélie Reymond

168

10

0

30 Apr 2020

GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions,
Semantic Roles, and Reader Perception

GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader PerceptionInternational Conference on Language Resources and Evaluation (LREC), 2019

Laura Ana Maria Bostan

240

93

0

06 Dec 2019