The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

Text mining defines generally the process of extracting interesting features (non-trivial) and
knowledge from unstructured text documents. Text mining is an interdisciplinary field which …

Buku" Penerapan Data Mining di Berbagai Bidang: Konsep, Metode, dan Studi Kasus"
membahas tentang penggunaan data mining dalam berbagai bidang, seperti bisnis …

The recent economic recession in Greece has had a detrimental impact on all national
business activities, with the logistics industry being one of the most affected sectors primarily …

The information needed in its development requires that proper analysis can provide
support in making decisions. Sentiment analysis is a data processing technique that can be …

Predict the priority of end-users’ maintenance requests and the required technical staff through
LSTM and Bi-LSTM recurrent neural networks | Emerald Insight Books and journals Case studies …

Among the many approaches to studying color harmony tried so far, a relatively recent
method is to leverage a large number of human-created and ranked color palettes, such as …

Determining the extent to which two text snippets are semantically equivalent is a well-
researched topic in the areas of natural language processing, information retrieval and text …

We have read with great interest the recent paper by Gärtner et al.(2015) on EEG microstate
sequences. These authors propose a stochastic model termed sampled marked intervals …

We conduct a sentiment analysis of the FOMC (Federal Open Market Committee) minutes
based on the text mining results and examine the predictive ability of the resulting sentiment …