Multimodal Attribute-Level Sentiment Analysis for Social Media: Background, Tasks, and Recent Advances

This article reviews the rapid development of multimodal attribute-level sentiment analysis on social media, outlining its background, defining four core sub‑tasks, summarizing representative recent models—including unified multimodal transformers, coarse‑to‑fine image‑target matching, and vision‑language pre‑training—and discussing experimental results and future research directions.

Deep LearningNLPaspect based sentiment

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Multimodal Attribute-Level Sentiment Analysis for Social Media: Background, Tasks, and Recent Advances

Meituan Technology Team

Oct 21, 2021 · Artificial Intelligence

Meituan's End-to-End Sentiment Analysis Technology and the ASAP Dataset

Meituan’s NLP Center introduced the ASAP dataset—the largest real‑world Chinese attribute‑level sentiment corpus—to date, and the article traces the progression from document‑level regression models upgraded with MT‑BERT, through multi‑task attribute‑level ABSA and opinion‑triplet extraction, to scalable real‑time and batch services, while outlining future transfer‑learning and few‑shot research.

MeituanNLPSentiment Analysis

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Meituan's End-to-End Sentiment Analysis Technology and the ASAP Dataset

DataFunTalk

May 8, 2021 · Artificial Intelligence

Attribute‑Level Sentiment Analysis for E‑commerce: Tasks, Challenges, and System Design

This article presents a comprehensive overview of sentiment analysis in user‑generated content, detailing document‑, sentence‑, and aspect‑level tasks, defining the Aspect Sentiment Triplet Extraction problem for e‑commerce reviews, describing a three‑stage pipeline with pre‑training, multi‑domain modeling and attribute normalization, and reporting significant business improvements such as 400% CTR lift, while also discussing data imbalance, annotation scarcity, and future research directions.

Sentiment Analysisaspect based sentimente‑commerce

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Attribute‑Level Sentiment Analysis for E‑commerce: Tasks, Challenges, and System Design

DataFunTalk

Mar 14, 2021 · Artificial Intelligence

A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction

This article reviews recent research on medical sentiment analysis, covering interpretability of neural models, contextual aspect‑sentiment interactions, strategies for handling noisy labels, and methods for building domain‑specific sentiment lexicons, highlighting challenges and proposed solutions.

Deep LearningInterpretabilitySentiment Analysis

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A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction

Huawei Cloud Developer Alliance

Nov 19, 2019 · Artificial Intelligence

Unlocking Text Sentiment Analysis: Concepts, Tasks, and Huawei Cloud’s Advances

This article introduces the fundamentals of text sentiment analysis, explains its five key elements and task categories, and details Huawei Cloud’s practical implementations for word‑level, sentence‑level, and target‑level sentiment analysis, including lexicon construction and multi‑attribute modeling.

Huawei CloudSentiment Analysisaspect based sentiment

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Unlocking Text Sentiment Analysis: Concepts, Tasks, and Huawei Cloud’s Advances