Opinion Mining

56 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

Most implemented papers

Active learning in annotating micro-blogs dealing with e-reputation

ungeimer/FLAT-TextTagger 16 Jun 2017

This paper intends to develop a so-called active learning process for automatically annotating French language tweets that deal with the image (i. e., representation, web reputation) of politicians.

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.

A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection

asking28/sentimix2020 30 May 2018

Social media platforms like twitter and facebook have be- come two of the largest mediums used by people to express their views to- wards different topics.

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.

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.

A domain-agnostic approach for opinion prediction on speech

UKPLab/coling-peoples2016-opinion-prediction WS 2016

We explore a domain-agnostic approach for analyzing speech with the goal of opinion prediction.

Replication issues in syntax-based aspect extraction for opinion mining

epochx/opminreplicability EACL 2017

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

Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN

epochx/opinatt WS 2017

These results, as well as further experiments on domain adaptation for aspect extraction, suggest that differences between speech and written text, which have been discussed extensively in the literature, also extend to the domain of product reviews, where they are relevant for fine-grained opinion mining.