Text mining
T Jo - Studies in Big Data, 2019 - Springer
This book is concerned with the concept, the theories, and the implementations of text
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …
[PDF][PDF] A survey report on text classification with different term weighing methods and comparison between classification algorithms
A Patra, D Singh - International Journal of Computer Applications, 2013 - academia.edu
Text classification approach gaining more importance because of the accessibility of large
number of electronic documents from a variety of resource. Text categorization is the task of …
number of electronic documents from a variety of resource. Text categorization is the task of …
A survey on text mining in social networks
R Irfan, CK King, D Grages, S Ewen… - The Knowledge …, 2015 - cambridge.org
In this survey, we review different text mining techniques to discover various textual patterns
from the social networking sites. Social network applications create opportunities to …
from the social networking sites. Social network applications create opportunities to …
[PDF][PDF] A comparative study on different types of approaches to text categorization
PY Pawar, SH Gawande - International Journal of Machine Learning and …, 2012 - ijmlc.org
Text Categorization is a pattern classification task for text mining and necessary for efficient
management of textual information systems. The documents can be classified by three ways …
management of textual information systems. The documents can be classified by three ways …
Neural networks for sentiment analysis on Twitter
B Duncan, Y Zhang - 2015 IEEE 14th International Conference …, 2015 - ieeexplore.ieee.org
The online medium has become a significant way that people express their opinions online.
Sentiment analysis can be used to find out the polarity of an opinion, such as positive …
Sentiment analysis can be used to find out the polarity of an opinion, such as positive …
Class specific autoencoders enhance sample diversity
Semi-supervised learning (SSL) and few-shot learning (FSL) have shown impressive
performance even then the volume of labeled data is very limited. However, SSL and FSL …
performance even then the volume of labeled data is very limited. However, SSL and FSL …
Representing industrial data streams in digital twins using semantic labeling
P Zehnder, D Riemer - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
Digital twins provide the opportunity to observe and simulate current and future behaviour of
cyber-physical systems in a non-invasive way. At the same time, digital representations of …
cyber-physical systems in a non-invasive way. At the same time, digital representations of …
Terrorism, social media and text mining technique: Review of six years past studies
The aim of this paper is to examine the Islamic State of Iraq and Syria (ISIS) recruitment
actual behavior through social media. The ISIS has targeted Indonesia as the main source of …
actual behavior through social media. The ISIS has targeted Indonesia as the main source of …
K nearest neighbor for text summarization using feature similarity
T Jo - 2017 International Conference on Communication …, 2017 - ieeexplore.ieee.org
In this research, we propose a particular version of KNN (K Nearest Neighbor) where the
similarity between feature vectors is computed considering the similarity among attributes or …
similarity between feature vectors is computed considering the similarity among attributes or …
Using K Nearest Neighbors for text segmentation with feature similarity
T Jo - 2017 International Conference on Communication …, 2017 - ieeexplore.ieee.org
In this research, we propose the version of K Nearest Neighbor which considers similarity
among attributes for computing the similarity between feature vectors. The text segmentation …
among attributes for computing the similarity between feature vectors. The text segmentation …