A survey on aspect-based sentiment classification
G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
[HTML][HTML] A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
User engagement (UE) and its measurement have been of increasing interest in human-
computer interaction (HCI). The User Engagement Scale (UES) is one tool developed to …
computer interaction (HCI). The User Engagement Scale (UES) is one tool developed to …
Large language model augmented narrative driven recommendations
Narrative-driven recommendation (NDR) presents an information access problem where
users solicit recommendations with verbose descriptions of their preferences and context, for …
users solicit recommendations with verbose descriptions of their preferences and context, for …
An overview of the current state of linked and open data in cataloging
Linked Open Data (LOD) is a core Semantic Web technology that makes knowledge and
information spaces of different knowledge domains manageable, reusable, shareable …
information spaces of different knowledge domains manageable, reusable, shareable …
Defining and supporting narrative-driven recommendation
Research into recommendation algorithms has made great strides in recent years. However,
these algorithms are typically applied in relatively straightforward scenarios: given …
these algorithms are typically applied in relatively straightforward scenarios: given …
Overview of the CLEF 2016 social book search lab
Abstract The Social Book Search (SBS) Lab investigates book search in scenarios where
users search with more than just a query, and look for more than objective metadata. Real …
users search with more than just a query, and look for more than objective metadata. Real …
Toward word embedding for personalized information retrieval
This paper presents preliminary works on using Word Embedding (word2vec) for query
expansion in the context of Personalized Information Retrieval. Traditionally, word em …
expansion in the context of Personalized Information Retrieval. Traditionally, word em …
On the analysis and evaluation of information retrieval models for social book search
Abstract Social Book Search (SBS) studies how the Social Web impacts book retrieval. This
impact is studied in two steps. In this first step, called the baseline run, the search index …
impact is studied in two steps. In this first step, called the baseline run, the search index …
What Happened in CLEF For a While?
N Ferro - International Conference of the Cross-Language …, 2019 - Springer
Abstract 2019 marks the 20^ th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
Dataset of natural language queries for e-commerce
Shop** online is more and more frequent in our everyday life. For e-commerce search
systems, understanding natural language coming through voice assistants, chatbots or from …
systems, understanding natural language coming through voice assistants, chatbots or from …