About

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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Latest papers with code

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

13 Mar 2021NKU-IIPLab/BMRC

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 OPINION MINING

6
13 Mar 2021

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce

27 Aug 2020dengyang17/OAAG

There are two main challenges when exploiting the opinion information from the reviews to facilitate the opinion-aware answer generation: (i) jointly modeling opinionated and interrelated information between the question and reviews to capture important information for answer generation, (ii) aggregating diverse opinion information to uncover the common opinion towards the given question.

OPINION MINING QUESTION ANSWERING

3
27 Aug 2020

The spread of COVID-19 conspiracy theories on social media and the effect of content moderation

1 Aug 2020civicmachines/COVID19_conspiracy_theories

We investigate the diffusion of conspiracy theories related to the origin of COVID-19 on social media.

MISINFORMATION OPINION MINING

0
01 Aug 2020

Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model

27 Jul 2020SerenaYKim/SolarSentiment

Public acceptance and support for renewable energy are important determinants of renewable energy policies and market conditions.

LANGUAGE MODELLING OPINION MINING

0
27 Jul 2020

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.

CLASSIFICATION OPINION MINING SENTIMENT ANALYSIS

14
21 Jul 2020

Learning Opinion Dynamics From Social Traces

2 Jun 2020corradomonti/learnable-opinion-dynamics

In this work we propose an inference mechanism for fitting a generative, agent-like model of opinion dynamics to real-world social traces.

GRAPH MINING LINK SIGN PREDICTION MODEL SELECTION OPINION MINING TWO-SAMPLE TESTING

12
02 Jun 2020

Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity

2 Jun 2020LukasMut/Subjective_QA

Hence, to answer these subjective questions, a learner must extract opinions and process sentiment for various domains, and additionally, align the knowledge extracted from a paragraph with the natural language utterances in the corresponding question, which together enhance the difficulty of a QA task.

OPINION MINING QUESTION ANSWERING

0
02 Jun 2020

Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations

1 Jun 2020jakeyap/MultiTaskLearning

Moreover, the existing datasets do not distinguish between the different types of conversations on social media (e. g., replying vs. quoting on Twitter).

OPINION MINING

0
01 Jun 2020

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

41
07 Feb 2020