[PDF] Top 20 Feature Selection for Effective Text Classification using Semantic Information
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Feature Selection for Effective Text Classification using Semantic Information
... the information content available on the internet is in the form of text data hence it is imperative to deal with text ...data. Text mining generally refers to the process of extracting ... See full document
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Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
... the semantic relation with the related ...useful semantic information, the SRL is crucial to many natural language proc- essing tasks, such as Question and Answering (Na- rayanan and Harabagiu 2004), ... See full document
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Web Page Structure Enhanced Feature Selection for Classification of Web Pages
... web’s information volume increases, time required for locating information ...useful information with the situation worsening when keyword search is unable to provide highly relevant ...Hyper ... See full document
6
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification
... binary classification) and type classifi- cation that have been studied extensively to im- prove performance of applications such as auto- matic summarization (Daniel, Radev, & Allison, 2003) and question ... See full document
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ELM-LSTM Based Sentiment Analysis
... in text sentiment classification. To acquire high classification performance, the effective and precise term weighting scheme plays a prime and necessary role for classification ... See full document
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An Efficient Feature Selection Method for Arabic Text Classification
... efficient feature selection method based on Chi-square Statistics was ...existing feature selection methods according to its effect on classifying Arabic text ...outperformed ... See full document
6
An Extensive Empirical Study of Feature Selection Metrics for Text Classification
... on feature selection, primarily those outside the text domain, have focused on ...the information retrieval community, which is often faced with much greater class skews than the machine ... See full document
17
Feature Selection and Reduction for Persian Text Classification
... of text mining is to enable users to extract information from textual resources and deals with the operations like, retrieval, classification (supervised, unsupervised and semi supervised) and ... See full document
5
Protein interaction sentence detection using multiple semantic kernels
... texts. Classification-based methods are usually trained on data labelled by ...incorporating semantic information from unla- belled data; and thus reducing the burden on the ... See full document
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Feature Selection for Short Text Classification using Wavelet Packet Transform
... of feature selection algorithms follow consistent pattern in short ...at feature selection without losing dis- criminative information, even when the dimensional- ity of feature ... See full document
6
Information Gain Feature Selection for Multi-Label Classification
... as text categorization, biomolecular analysis, scene or video classification and medical diagnosis, instances are naturally associated with more than one class label, giving rise to multi-label ... See full document
11
Feature Selection as Causal Inference: Experiments with Text Classification
... Matching There have been instances of using matching techniques to improve text training data. Tan et al. (2014) built models to estimate the number of retweets of Twitter messages and ad- dressed ... See full document
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A New Feature Selection Technique Combined with ELM Feature Space for Text Classification
... ture selection called Commonality-Rarity Score Computation (CRSC) by means of three param- eters (Alpha (measures weighted commonality), Beta (measures extent of occurrence of a term) and Gamma (average weight of ... See full document
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Text Classification using KNN with different Feature Selection Methods
... or Information Retrieval (IR) have gained a prominent status in the information systems ...ways. Text categorization or classification is the activity of labeling natural language texts with ... See full document
10
A survey on feature selection to perform classification using Meta Heuristic algorithms in Data Mining Domain
... Feature selection becomes the focus of much research in many areas of applications for which datasets with large number of features are ...available. Feature Selection Methods in Data mining ... See full document
12
A SURVEY ON RELEVANCE FEATURE SELECTION METHOD FOR TEXT CLASSIFICATION
... relevance feature in text documents is a big challenge because of large scale terms and data ...for text classification. Feature selection is the process of selecting a subset of ... See full document
5
PSA: A Hybrid Feature Selection Approach for Persian Text Classification
... of text documents is increasing ...for text mining techniques, including automatic text classification, is ...automatic text classification, feature selection from ... See full document
12
Intrusion Detection System using Recurrent Neural Network with Deep Learning
... speech recognition, object detection, visual object recognition and many other domains such as drug discovery and genomics. Deep-learning methods have multiple levels of representation, which is obtained by composing ... See full document
9
A Novel Machine Learning Approach to Predictions in Heart Disease Using Iaca
... (HDPS) using three data mining modeling techniques namely, Decision Trees, Naive Bayes and Neural ...give information is associated with heart disease to historical heart disease ...give information ... See full document
7
Feature Selection based Classification using Naive Bayes, J48 and Support Vector Machine
... In recent research, use of machine learning techniques in data mining has increased. This task of knowledge discovery with the help of a machine learning technique called as supervised learning. In supervised learning ... See full document
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