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Question answering system with text mining and deep networks
Question answering systems are capable of responding to user inquiries using natural language. These systems analyze questions utilizing natural...
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Text mining based an automatic model for software vulnerability severity prediction
Software vulnerabilities reported every year increase exponentially, leading to the exploitation of software systems. Hence, when a vulnerability is...
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A Local Discrete Text Data Mining Method in High-Dimensional Data Space
Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete...
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Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses
This study introduced a multi-criteria decision-making methodology leveraging text mining and analytic hierarchy process (AHP) for online course...
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Text Mining-Innovationen für Unternehmen
Dieses Kapitel befasst sich mit Geschäftsinnovationen, die durch die Entwicklung von Text-Mining-Lösungen unterstützt werden, zur Erfüllung... -
An Association Rule Mining Method Based on Named Entity Recognition and Text Classification
Using massive text data, building a knowledge graph to implement in-depth association analysis and mining can help identify entities and make...
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Text Mining
Convolutional neural networks (CNNs) are a type of deep learning model specifically designed for processing and analyzing visual data, such as images... -
Text Mining and Performance Analysis
As a discipline originating from notational analysis and biomechanics, performance analysis is dominated by research based on metrical data like... -
Interpretive Psychotherapy of Text Mining Approaches
The current scenario data collection grows rapidly, and most of it is organized in an unstructured format, from which it is difficult to extract... -
Assessment of firm’s Performance by Employing Text Mining Techniques
Yearly Reports are primarily used by shareholders and financial advisors to assess a firm's existing results and make informed purchase decisions.... -
CovTexMiner: Covid Text Mining Using CNN with Domain-Specific GloVe Embedding
The Covid-19 pandemic imposes a significant impact on human life. Due to the pandemic, all over the globe is reducing physical communication and... -
Text Mining-Based Author Profiling: Literature Review, Trends and Challenges
Author profiling (AP) is a very interesting research field that can be involved in many application, such as, Information Retrieval, social network... -
Text Mining with Finite State Automata via Compound Words Ontologies
The paper introduces an efficient text mining method using finite automata to extract knowledge domains from textual documents. It focuses on... -
Analyzing Customer Requirements Based on Text Mining via Spherical Fuzzy QFD
Customer requirements (CRs) and their interpretation of the product is a crucial stage for a company’s existence in a competitive environment. QFD... -
Uncovering Insights in Agroforestry: A Text Mining Analysis Using Web Scra** and Topic Modeling
Big data is so prevalent, text mining has become an essential tool to provide an overview and easy understanding of vast amounts of data. In this... -
Text and Web Content Mining: A Systematic Review
Text and content mining are the subcategory of data mining. This category of data mining is used to extract the information from web or web pages of... -
Medical Phrase Mining Method for Biomedical Text Processing
With the rapid increase of biomedical data, mining high-quality phrases from these unstructured text data has become a hot research issue. Converting... -
Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series
As no statistical time series was available for the new refined, “split” concepts, the next goal of the research was generating a time series for all... -
Persian Text Sentiment Analysis Based on BERT and Neural Networks
Sentiment analysis and opinion mining are studies that analyze people’s opinions, feelings, experiences, and emotions through written language. This...
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Role of Natural Language Processing for Text Mining of Education Policy in Rajasthan
The knowledge of education policy will bring an array of new growth, but it has necessitated an improved type of human–machine intercommunication, in...