Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 8th International Jo Ana Fred,Jan‘Dietz,Joaquim Filipe Conference proc

使聲音降低

Text Mining for Word Sentiment Detection We demonstrate the effectiveness of our approaches by performing sentiment analysis on Amazon products reviews, comparing the various automatically-generated lexicons. Based on our cross validation results, we show that our lexicons outperform a widely-used sentiment lexicon on both balanced and unbalanced datasets.

保守

Knowledge Management in Enterprise Architecture Projectsject. The framework is described in a meta-model known as “ways of”, addressing the ways of thinking, working, supporting, controlling and modeling. Validation is presented through a case study in a consulting company and through expert opinion.

沉默

https://doi.org/10.1007/978-3-319-99701-8artificial intelligence; computational linguistics; computer networks; data mining; decision support sys

Fierce

978-3-319-99700-1Springer Nature Switzerland AG 2019

內(nèi)行

Knowledge Discovery, Knowledge Engineering and Knowledge Management978-3-319-99701-8Series ISSN 1865-0929 Series E-ISSN 1865-0937

Tortuous