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Olga Kellert

11 papers hereh-index 577 citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author3
  • last author2

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL11

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedA Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis

2 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

3 papers · 2 filters

cs.CL2024

Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA

Carlos Gómez-Rodríguez, Muhammad Imran, David Vilares +2

Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be acc…

cs.CL2024★ 2 cited

A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis

Muhammad Imran, Olga Kellert, Carlos Gómez-Rodríguez

Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…

cs.CL2024

Unveiling factors influencing judgment variation in Sentiment Analysis with Natural Language Processing and Statistics

Olga Kellert, Carlos Gómez-Rodríguez, Mahmud Uz Zaman

TripAdvisor reviews and comparable data sources play an important role in many tasks in Natural Language Processing (NLP), providing a data basis for the identification and classif…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.