Applied sentiment analysis on a real estate advertisement recommendation model

Regina Fang Ying Lin (Corresponding Author), Jiesheng Wu, Kuo Kun Tseng (Corresponding Author), Yuk Ming Tang, Lu Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Recently, the data generated are exploding in the information age. In the post-COVID-19 era, some real estate contracts have been signed online, and online advertisement recommendation has become a new way to reduce the searching cost. Therefore, the model in which real estate online recommendations can be made suitable without user preferences has become a tricky problem. This study uses sentiment and economic data to predict real estate sales and then made an advertisement recommendation from the forecast results. The 2SA-RERec (Two Sentiment Analysis of Real Estate Recommendation) model is proposed, which shows the highest accuracy among the others.

Original languageEnglish
JournalEnterprise Information Systems
DOIs
Publication statusE-pub ahead of print - 27 Feb 2022

Keywords

  • back-propagation neural network
  • grey system theory
  • Real estate online advertisement recommendation model
  • seasonal and trend decomposition using loess
  • sentiment analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management

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