ResearchTrend.AI
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

Johannes Hellrich
Sven Buechel
U. Hahn
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
Analyzing the Surprising Variability in Word Embedding Stability Across Languages
Analyzing the Surprising Variability in Word Embedding Stability Across Languages
Laura Burdick
Jonathan K. Kummerfeld
Rada Mihalcea
44
9
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 Perception
Laura Ana Maria Bostan
Evgeny Kim
Roman Klinger
103
87
0
06 Dec 2019