Snippext: Semi-supervised Opinion Mining with Augmented Data
Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan
Abstract
Online services are interested in solutions to opinion mining, which is the problem of extracting aspects, opinions, and sentiments from text. One method to mine opinions is to leverage the recent success of pre-trained language models which can be fine-tuned to obtain high-quality extractions from reviews. However, fine-tuning language models still requires a non-trivial amount of training data.
Topics & Concepts
Computer scienceLeverage (statistics)Sentiment analysisLanguage modelArtificial intelligenceData scienceNatural languageData miningTraining setData modelingAugmented realityInformation extractionWorld Wide WebInformation retrievalWork (physics)Opinion pollPublic opinionSentiment Analysis and Opinion MiningTopic ModelingAdvanced Text Analysis Techniques