Opinion Mining
57 papers with code • 1 benchmarks • 10 datasets
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
Benchmarks
These leaderboards are used to track progress in Opinion Mining
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Datasets
IMDb Movie Reviews
MPQA Opinion Corpus
UR-FUNNY
MOS Dataset
Latest papers with no code
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation
Trends and opinion mining in social media increasingly focus on novel interactions involving visual media, like images and short videos, in addition to text.
Deep Learning for Opinion Mining and Topic Classification of Course Reviews
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution.
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Inspired by the theoretical foundations in domain adaptation [2], we propose a new SSL approach that opts for selecting target samples whose model output from a domain-specific teacher and student network disagree on the unlabelled target data, in an effort to boost the target domain performance.
Sentiment analysis and opinion mining on educational data: A survey
In the education sector, opinion mining is used to listen to student opinions and enhance their learning-teaching practices pedagogically.
Machine Learning Algorithms for Depression Detection and Their Comparison
In this article, we have designed an automatic depression detection of online social media users by analyzing their social media behavior.
Cursive Caption Text Detection in Videos
Textual content appearing in videos represents an interesting index for semantic retrieval of videos (from archives), generation of alerts (live streams) as well as high level applications like opinion mining and content summarization.
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects.
Sentiment analysis and opinion mining on E-commerce site
Sentiment analysis or opinion mining help to illustrate the phrase NLP (Natural Language Processing).
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads
In response, we address a new task called conversational stance detection which is to infer the stance towards a given target (e. g., COVID-19 vaccination) when given a data instance and its corresponding conversation thread.
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained task in the field of sentiment analysis, which aims to predict the polarity of aspects.
