A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
Sentiment analysis using common‐sense and context information
Sentiment analysis research has been increasing tremendously in recent times due to the
wide range of business and social applications. Sentiment analysis from unstructured …
wide range of business and social applications. Sentiment analysis from unstructured …
[PDF][PDF] Abstractive summarization of product reviews using discourse structure
We propose a novel abstractive summarization system for product reviews by taking
advantage of their discourse structure. First, we apply a discourse parser to each review and …
advantage of their discourse structure. First, we apply a discourse parser to each review and …
Engineering knowledge graph from patent database
L Siddharth, LTM Blessing… - … of Computing and …, 2022 - asmedigitalcollection.asme.org
We propose a large, scalable engineering knowledge graph, comprising sets of real-world
engineering “facts” as< entity, relationship, entity> triples that are found in the patent …
engineering “facts” as< entity, relationship, entity> triples that are found in the patent …
A computational tool for creative idea generation based on analogical reasoning and ontology
Analogy is a core cognition process used to produce inferences as well as new ideas using
previous knowledge and experience. Ontology is a formal representation of a set of domain …
previous knowledge and experience. Ontology is a formal representation of a set of domain …
Machine learning approach for sentiment analysis
Abstract Machine learning algorithms have been widely used for sentiment analysis [66].
The bag-of-words (BoW) representation is commonly used for sentiment analysis [63, 93] …
The bag-of-words (BoW) representation is commonly used for sentiment analysis [63, 93] …
[图书][B] Prominent feature extraction for sentiment analysis
The field of sentiment analysis is an exciting and new research direction due to a large
number of real-world applications. Discovering people's opinion is very important for better …
number of real-world applications. Discovering people's opinion is very important for better …
Informative and controllable opinion summarization
RK Amplayo, M Lapata - arXiv preprint arXiv:1909.02322, 2019 - arxiv.org
Opinion summarization is the task of automatically generating summaries for a set of reviews
about a specific target (eg, a movie or a product). Since the number of reviews for each …
about a specific target (eg, a movie or a product). Since the number of reviews for each …
A systematic study on the role of SentiWordNet in opinion mining
Sentiment lexicons (SL)(aka lexical resources) are the repositories of one or several
dictionaries that consist of known and precompiled sentiment terms. These lexicons play an …
dictionaries that consist of known and precompiled sentiment terms. These lexicons play an …
Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification
OM Beigi, MH Moattar - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis has long been suffering from inaccuracies using either machine learning
methods that mostly benefit from text features or sentiment lexicon-based methods that are …
methods that mostly benefit from text features or sentiment lexicon-based methods that are …