Opinion Mining

38 papers with code • 0 benchmarks • 7 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

Greatest papers with code

pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks

pysentimiento/pysentimiento 17 Jun 2021

Extracting opinions from texts has gathered a lot of interest in the last years, as we are experiencing an unprecedented volume of user-generated content in social networks and other places.

Opinion Mining Sentiment Analysis

Snippext: Semi-supervised Opinion Mining with Augmented Data

rit-git/Snippext_public 7 Feb 2020

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 Fine-tuning +2

Representation learning for very short texts using weighted word embedding aggregation

cedricdeboom/RepresentationLearning 2 Jul 2016

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.

Event Detection News Recommendation +4

NoReC: The Norwegian Review Corpus

ltgoslo/norec LREC 2018

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.

Document-level Opinion Mining +1

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

DrImpossible/Sub-word-LSTM COLING 2016

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.

Opinion Mining Sentiment Analysis

Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction

chenshaowei57/SDRN ACL 2020

The opinion entity extraction unit and the relation detection unit are developed as two channels to extract opinion entities and relations simultaneously.

Entity Extraction using GAN Opinion Mining +1

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

NKU-IIPLab/BMRC 13 Mar 2021

Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review sentences along with their corresponding opinion expressions and sentiments, is an emerging task in fine-grained opinion mining.

Aspect Sentiment Triplet Extraction Machine Reading Comprehension +1

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

keshav22bansal/BAKSA_IITK SEMEVAL 2020

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.

Classification General Classification +2