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
Latest papers
Twitter-Based Gender Recognition Using Transformers
User demographics provide rich information that could help study the subject further.
yosm: A new yoruba sentiment corpus for movie reviews
iyanush/yosm
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Several works on sentiment analysis have been done on high resource languages while low resources languages like Yoruba have been sidelined.
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
User-generated content from social media is produced in many languages, making it technically challenging to compare the discussed themes from one domain across different cultures and regions.
Span Detection for Aspect-Based Sentiment Analysis in Vietnamese
Aspect-based sentiment analysis plays an essential role in natural language processing and artificial intelligence.
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
Several studies on sarcasm detection have utilized different learning algorithms.
FiLMing Multimodal Sarcasm Detection with Attention
sundeshgupta/FiLMing-Multimodal-Sarcasm-Detection
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We propose a novel architecture that uses the RoBERTa model with a co-attention layer on top to incorporate context incongruity between input text and image attributes.
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
pysentimiento/pysentimiento
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In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media.
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents
KiroSummer/opinion_mining_with_syn_cons
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NAACL 2021
Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one sentence.
Investigating label suggestions for opinion mining in German Covid-19 social media
UKPLab/acl2021-label-suggestions-german-covid19
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ACL 2021
This work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data.
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
NKU-IIPLab/BMRC
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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.
