paper-with-me

Papers

Document-level Sentiment Inference with Social, Faction, and Discourse Context

2016-08-01 · ACL 2016 8 · Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Sentiment Analysis

Similar Papers 제목 키워드 기반

A Comparison of Indonesia E-Commerce Sentiment Analysis for Marketing Intelligence Effort

2021-02-27 · Andry Alamsyah, Fatma Saviera

The rapid growth of the e-commerce market in Indonesia, making various e-commerce companies appear and there has been high competition among them. Marketing intelligence is an important activity to measure competitive po…

MarketingSentiment Analysis

Sentiment Analysis and Customer Satisfaction Prediction on E-Commerce Platforms Based on YouTube Comments Using the XGBoost Algorithm

2026-05-06 · Ridho Benedictus Togi Manik, Muhammad Aqil Ramadhan, Ihsan Maulana Yusuf, Luluk Muthoharoh 외 arxiv

The exponential expansion of digital commerce in Indonesia has significantly shifted consumer interactions toward video-centric social networks, particularly YouTube. Consequently, the sheer volume of unstructured, multi…

Sentiment Analysis

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

2016-11-02 · COLING 2016 12 · Ameya Prabhu, Aditya Joshi, Manish Shrivastava, Vasudeva Varma

Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area a…

Opinion MiningSentiment Analysis

An AutoML-based Approach to Multimodal Image Sentiment Analysis

2021-02-16 · Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro

Sentiment analysis is a research topic focused on analysing data to extract information related to the sentiment that it causes. Applications of sentiment analysis are wide, ranging from recommendation systems, and marke…

AutoMLMarketingMultimodal Sentiment AnalysisRecommendation Systems+1

Detecting Abnormal User Feedback Patterns through Temporal Sentiment Aggregation

2026-03-11 · Yalun Qi, Sichen Zhao, Zhiming Xue, Xianling Zeng 외 arxiv

In many real-world applications, such as customer feedback monitoring, brand reputation management, and product health tracking, understanding the temporal dynamics of user sentiment is crucial for early detection of ano…

Text ClassificationSentiment AnalysisAnomaly Detection