Coreference resolution Ontology-based in sentiment analysis
نویسندگان
چکیده
منابع مشابه
SANAPHOR: Ontology-Based Coreference Resolution
We tackle the problem of resolving coreferences in textual content by leveraging Semantic Web techniques. Specifically, we focus on noun phrases that coreference identifiable entities that appear in the text; the challenge in this context is to improve the coreference resolution by leveraging potential semantic annotations that can be added to the identified mentions. Our system, SANAPHOR, firs...
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"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...
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We investigate the boost in sentiment performance by taking coreference information into account. We mine user generated content for market research. Frequent topic shifts in the data lead us to investigate sentiment algorithms which look at a window of text around topic key phrases. We describe and implement a lightweight sentiment analysis system and show how the system performance can be imp...
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State-of-the-art coreference resolution engines show similar performance figures (low sixties on the MUC-7 data). Our system with a rich linguistically motivated feature set yields significantly better performance values for a variety of machine learners, but still leaves substantial room for improvement. In this paper we address a relatively unexplored area of coreference resolution – we prese...
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With many people freely expressing their opinions and feelings on the Web, much research has gone into modeling and monetizing opinionated, and usually unstructured and textual, Web-based content. Aspect-based sentiment analysis aims to extract the fine-grained topics, or aspects, that people are talking about, together with the sentiment expressed on those aspects. This allows for a detailed a...
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ژورنال
عنوان ژورنال: Science and Technology Development Journal
سال: 2019
ISSN: 1859-0128,1859-0128
DOI: 10.32508/stdj.v20ik9.1673