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Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)

Image Source: Deep learning for sentiment analysis: A survey

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Latest papers without code

Sentiment Classification in Swahili Language Using Multilingual BERT

19 Apr 2021

The data was created by extracting and annotating 8. 2k reviews and comments on different social media platforms and the ISEAR emotion dataset.

CLASSIFICATION OPINION MINING SENTIMENT ANALYSIS

Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling

19 Apr 2021

Discovering the semantic aspects in Incel forums are the main goal of this research; we apply Natural language processing techniques based on topic modeling to latent topic discovery and opinion mining of users from a popular online Incel discussion forum.

OPINION MINING

Leveraging Artificial Intelligence to Analyze Citizens' Opinions on Urban Green Space

12 Feb 2021

Continued population growth and urbanization is shifting research to consider the quality of urban green space over the quantity of these parks, woods, and wetlands.

OPINION MINING TEXT CLASSIFICATION SOCIAL AND INFORMATION NETWORKS

Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach

14 Dec 2020

To understand the important dimensions of service quality from the passenger's perspective and tailor service offerings for competitive advantage, airlines can capitalize on the abundantly available online customer reviews (OCR).

OPINION MINING OPTICAL CHARACTER RECOGNITION TOPIC MODELS

Over a Decade of Social Opinion Mining

5 Dec 2020

This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio.

DECISION MAKING OPINION MINING

FinnSentiment -- A Finnish Social Media Corpus for Sentiment Polarity Annotation

4 Dec 2020

Sentiment analysis and opinion mining is an important task with obvious application areas in social media, e. g. when indicating hate speech and fake news.

OPINION MINING SENTIMENT ANALYSIS

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

6 Nov 2020

RST-based discourse parsing is an important NLP task with numerous downstream applications, such as summarization, machine translation and opinion mining.

DISCOURSE PARSING MACHINE TRANSLATION OPINION MINING

Helping users discover perspectives: Enhancing opinion mining with joint topic models

23 Oct 2020

Support or opposition concerning a debated claim such as abortion should be legal can have different underlying reasons, which we call perspectives.

OPINION MINING TOPIC MODELS

A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining

11 Oct 2020

Classifying and resolving coreferences of objects (e. g., product names) and attributes (e. g., product aspects) in opinionated reviews is crucial for improving the opinion mining performance.

OPINION MINING

Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning

2 Oct 2020

An expanding field of substantive interest for the theory of the law and the practice-of-law entails Legal Sentiment Analysis and Opinion Mining (LSAOM), consisting of two often intertwined phenomena and actions underlying legal discussions and narratives: (1) Sentiment Analysis (SA) for the detection of expressed or implied sentiment about a legal matter within the context of a legal milieu, and (2) Opinion Mining (OM) for the identification and illumination of explicit or implicit opinion accompaniments immersed within legal discourse.

OPINION MINING SENTIMENT ANALYSIS