aspect‑based sentiment

DataFunTalk

Oct 13, 2022 · Artificial Intelligence

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 LearningNLPVision-Language

0 likes · 21 min read

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

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.

Natural Language Processingaspect‑based sentimente-commerce

0 likes · 15 min read

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 LearningInterpretabilityaspect‑based sentiment

0 likes · 19 min read

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

DataFunTalk

Feb 26, 2021 · Artificial Intelligence

Fine‑Grained Sentiment Analysis and Opinion Quadruple Extraction: Methods, Tasks, and Applications

This article introduces the concepts, tasks, and recent advances in text sentiment analysis, focusing on attribute‑level sentiment (TG‑ABSA) and opinion‑quadruple extraction, describing unsupervised, reading‑comprehension, and multi‑task deep‑learning approaches, their implementation on Huawei Cloud, experimental results, and future research directions.

Deep LearningNLPaspect‑based sentiment

0 likes · 20 min read

Fine‑Grained Sentiment Analysis and Opinion Quadruple Extraction: Methods, Tasks, and Applications