Search Results for author:
Found 7 papers, 0 papers with code
Emotion Analysis on Twitter: The Hidden Challenge
Our evaluation shows that a machine learning classifier performs best on emotion detection, while a symbolic approach is better for identifying relevant (i. e. emotional) tweets.
Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain.
Named Entity Recognition task needs high-quality and large-scale resources.
The Dangerous Myth of the Star System
In recent years we have observed two parallel trends in computational linguistics research and e-commerce development.
Linguagrid: a network of Linguistic and Semantic Services for the Italian Language.
In order to handle the increasing amount of textual information today available on the web and exploit the knowledge latent in this mass of unstructured data, a wide variety of linguistic knowledge and resources (Language Identification, Morphological Analysis, Entity Extraction, etc.).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
