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
Most implemented papers
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Sentiment lexicon is an important tool for identifying the sentiment polarity of words and texts.
NoReC: The Norwegian Review Corpus
As resources for sentiment analysis have so far been unavailable for Norwegian, NoReC represents a highly valuable and sought-after addition to Norwegian language technology.
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction
We introduce a hybrid technique which combines machine learning and rule based model.
SentiPers: A Sentiment Analysis Corpus for Persian
To the best of our knowledge, SentiPers is a unique sentiment corpus with such a rich annotation in three different levels including document-level, sentence-level, and entity/aspect-level for Persian.
Discovering Bayesian Market Views for Intelligent Asset Allocation
Along with the advance of opinion mining techniques, public mood has been found to be a key element for stock market prediction.
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment analysis.
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning
This paper describes an approach to solve implicit emotion classification with the use of pre-trained word embedding models to train multiple neural networks.
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
EmotiKLUE is a submission to the Implicit Emotion Shared Task.
Supervised Sentiment Classification with CNNs for Diverse SE Datasets
achyudhk/SentiGH
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Sentiment analysis, a popular technique for opinion mining, has been used by the software engineering research community for tasks such as assessing app reviews, developer emotions in issue trackers and developer opinions on APIs.
A multimodal movie review corpus for fine-grained opinion mining
We introduce specific categories in order to make the annotation of opinions easier for movie reviews.
