[PDF] Top 20 Effective learning experience using text classification
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Effective learning experience using text classification
... pattern learning. Text analytics software’s could be of significant use as they transpose words and phrases in unstructured data into numerical values which can then be linked with structured data stored in ... See full document
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Towards Multi Label Text Classification through Label Propagation
... Multilabel text classifier can be realized by using supervised, unsupervised and semi supervised methods of machine ...labeled text data is needed for ...unlabeled text documents; whereas semi ... See full document
4
Automated Classification of Web Sites using Naive Bayesian Algorithm
... page classification as compared to traditional text ...Each text document obtained by application of procedures discussed above is represented as frequency ...Machine learning algorithms are ... See full document
5
Building Classification System to Predict Risk factors of Diabetic Retinopathy Using Text mining
... Diabetic retinopathy is one of the most common causes of blindness. Unfortunately, in many cases the patient is not aware of any symptoms until it is too late for treatment.[3]. The prevalence of Diabetic Retinopathy is ... See full document
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A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games
... Overload will not occur if the level of cognitive skill players is controlled. Inal, & Cagiltay [13] explain the research of Csikszentmihalyi who emphasized the balance between an individual’s skills and difficulties ... See full document
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READING AUTHENTIC EFL TEXT USING VISUALIZATION AND ADVANCE ORGANIZERS IN A MULTIMEDIA LEARNING ENVIRONMENT
... In sum, this study found no superior effect of animation in assisting with the comprehension of authentic reading material. Static visuals/pictures are equally effective in assisting learners’ comprehension of the ... See full document
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Improving Text Categorization By Using A Topic Model
... known text categorization algorithms represent a document collection as ...BOW. Using the BOW usually leads to an explosion in the number of features, so that even tens of thousands of ...and using ... See full document
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A Two Step Data Mining Approach for Amharic Text Classification
... Traditionally, text classifiers are built from labeled training examples ...semi-supervised learning to reduce the burden of manual ...learned text classifiers can be improved by augmenting a small ... See full document
9
Question Answering System for an Effective Collaborative Learning
... Collaborative Learning is two or more people learn or attempt to learn something together than ...individual learning, in collaborative learning people can exploit and share their resources and ... See full document
5
Bi-Modal Methods: An Overview
... Recognition Using SVM Classification and Extreme Learning Machine Based on Score Level Fusion They established that in a Multimodal biometric system, the effective fusion method was necessary ... See full document
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Classification Of Complex UCI Datasets Using Machine Learning And Evolutionary Algorithms
... machine learning and data mining. In machine learning, classification refers to an algorithmic process for designating a given input data into one among the different categories ...as ... See full document
10
Students’ Evaluation of Google Hangouts Through A Cross-Cultural Group Discussion Activity
... an effective delivery method in distance education and used at different grade ...online learning and decrease the psychological distance between students (Lim, Cha, Park, Lee, & Kim, ...mediated ... See full document
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Towards Multi-Stage Intrusion Detection using IP Flow Records
... We propose a multi-stage model for intrusion detection in high-speed networks using IP flow records. Figure II shows the architecture of our proposed approach. The IP flows are collected from the network ... See full document
5
Sleep Stage Classification: A Deep Learning Approach
... EEG is mainly intended for recording cerebral activity, yet other extra electrical activities are also recorded. These extra activities are usually considered harmful artefacts that can be either physiological like EOG, ... See full document
187
An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
... the classification performance of KNN using Genetic Algorithm (GA) is proposed in this ...samples using Rough set based Bee Colony Optimization ...for classification, by using GA, only ... See full document
4
Game as text as game: the communicative experience of digital games
... the text metaphor. In addition, those using the text as a concept also do it in a more literal manner than we: when Aarseth claims to understand the cyber- reader as someone “more integrated” in the ... See full document
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Research on manufacturing text classification based on improved genetic algorithm
... out classification retrieval and management of such large of manufacturing resources information on internet is always a hot area of research ...[3]. Text classification is normally expressed through ... See full document
8
Effects of Using Model Robots in the Education of Programming
... the learning process in different ...own experience interprets the information effect on ...of learning process and the teacher only helps, gives advises as a ... See full document
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Rev. esc. enferm. USP vol.46 número1 en v46n1a33
... A series of skills is required from mentors with regard to technological knowledge, among them: technical mas- tery suicient to act naturally, and with agility and skill in regard to the environment in use, use the ... See full document
5
Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification
... best classification model due to the non-linear, adaptive and functional approximation ...SOM, classification happens by extracting features by transforming of m-dimensional observation input pattern into ... See full document
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