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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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Datasets

Greatest papers with code

Snippext: Semi-supervised Opinion Mining with Augmented Data

7 Feb 2020rit-git/Snippext_public

A novelty of Snippext is its clever use of a two-prong approach to achieve state-of-the-art (SOTA) performance with little labeled training data through: (1) data augmentation to automatically generate more labeled training data from existing ones, and (2) a semi-supervised learning technique to leverage the massive amount of unlabeled data in addition to the (limited amount of) labeled data.

DATA AUGMENTATION LANGUAGE MODELLING OPINION MINING

Representation learning for very short texts using weighted word embedding aggregation

2 Jul 2016cedricdeboom/RepresentationLearning

Traditional textual representations, such as tf-idf, have difficulty grasping the semantic meaning of such texts, which is important in applications such as event detection, opinion mining, news recommendation, etc.

OPINION MINING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY WORD EMBEDDINGS

NoReC: The Norwegian Review Corpus

LREC 2018 ltgoslo/norec

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.

OPINION MINING SENTIMENT ANALYSIS

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

COLING 2016 DrImpossible/Sub-word-LSTM

We introduce a Hindi-English (Hi-En) code-mixed dataset for sentiment analysis and perform empirical analysis comparing the suitability and performance of various state-of-the-art SA methods in social media.

4 OPINION MINING SENTIMENT ANALYSIS

Discovering Bayesian Market Views for Intelligent Asset Allocation

27 Feb 2018fxing79/ibaa

Along with the advance of opinion mining techniques, public mood has been found to be a key element for stock market prediction.

OPINION MINING STOCK MARKET PREDICTION

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text

21 Jul 2020keshav22bansal/BAKSA_IITK

Sentiment Analysis of code-mixed text has diversified applications in opinion mining ranging from tagging user reviews to identifying social or political sentiments of a sub-population.

OPINION MINING SENTIMENT ANALYSIS

Replication issues in syntax-based aspect extraction for opinion mining

EACL 2017 epochx/opminreplicability

Reproducing experiments is an important instrument to validate previous work and build upon existing approaches.

ASPECT EXTRACTION OPINION MINING

Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling

NAACL 2019 zhangmeishan/SRL4ORL

Opinion role labeling (ORL) is an important task for fine-grained opinion mining, which identifies important opinion arguments such as holder and target for a given opinion trigger.

 Ranked #1 on Fine-Grained Opinion Analysis on MPQA (using extra training data)

FINE-GRAINED OPINION ANALYSIS OPINION MINING SEMANTIC ROLE LABELING