[PDF] Top 20 Improved Feature Weight Calculation Methods Based On Part-of-speech In Text Classification
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Improved Feature Weight Calculation Methods Based On Part-of-speech In Text Classification
... two improved feature weight calculation methods called “SPOS” and “MPOS” are proposed, in which part-of-speech information is taken into account and a new concept ... See full document
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Comparing Speech and Text Classification on ICNALE
... Herein we plan to investigate two aspects of interlanguage in foreign students of English: the first regards their English accent and its distinctiveness and the second one is related to the particular syntactical ... See full document
5
Support Vector Machines based Part of Speech Tagging for Nepali Text
... rule based and hidden Markov Model (HMM) cannot handle many ...machine based POS tagger has been implemented in [2] for a Bengali language which is also morphologically rich and shown the outstanding ... See full document
5
Feature Selection for Effective Text Classification using Semantic Information
... to text representation some of them used a different approach of associating context information with words while others took the aid of background knowledge bases such as WordNet and ...the text ... See full document
8
An Improved KNN Text Classification Algorithm Based on Clustering
... KNN text classification algorithm used all training samples for classification, so it had a huge number of training samples and a high degree of calculation complexity, and it also didn’t ... See full document
8
A Study On Naive Bayes Text Classification Algorithm Based On Position Weighting
... Bayes classification algorithm makes it reflect the correlations among the attributes or weaken the impact of the “conditional independence” hypothesis on text ...the feature words in the training ... See full document
6
ELM-LSTM Based Sentiment Analysis
... been improved very faster than ...iterative calculation in calculation of the output weights at obtaining input weights and hidden bias ...learning methods are widely used in text ... See full document
27
Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier
... emotional speech signals research has been boosted in human machine interfaces due to availability of high computation ...through speech. Selection of suitable feature sets, design of a proper ... See full document
8
A New Approach to Automated Text Readability Classification based on Concept Indexing with Integrated Part-of-Speech n-gram Features
... single text readability level ...the weight val- ues for their proposed models, namely, the uni- gram language model ...in text) and the sentence length distribution ...useful feature for ... See full document
8
Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks
... final classification experiments, we repeat five times random sampling to test sample size’s impact on the overall ...significantly based on the features of the STL-10 database; when the training sample ... See full document
12
Text Classification using KNN with different Feature Selection Methods
... several methods are formulated. For proper term weighting and feature extraction, we need a method which considers rare terms as similarly as frequent terms, multiple appearances of a term in a document to ... See full document
10
Research on Chinese Micro blog Sentiment Classification Based on Recurrent Neural Network
... sentiment classification of micro-blog text, who by using the ideas put forward by Pang et ...different feature extraction with Naive Bayesian (NB), support vector (SVM) and maximum entropy model ... See full document
9
Title: THE COMPARISON OF TERM BASED METHODS USING TEXT MINING
... The text documents are pre-processed; Term Frequency and Inverse Document Frequency (TF-IDF) are used to rank the ...In text mining the existing classification methods, the documents ... See full document
5
Auto detection of Hot Topics in Mass Chinese Internet Information
... structure-based text feature weight calculation method and a concept-feature extraction method and used feature-based news text vector representation method ... See full document
11
THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
... Web applications are useful to share the general and specific information and to do many business activities globally, usingthe internet. The most important component of these applications is the web pages. A web page is ... See full document
7
Human Emotion Recognition in Speech using Ant Colony Optimization
... Emotional Speech corpus (DES) and Berlin Emotional Database (EMO-DB), and four databases from the Interface venture with Spanish, Slovenian, French and English enthusiastic ...a part of the SER ... See full document
6
Experiments on Sentence Boundary Detection
... Feature Preceding word Probability preceding word ends a sentence Part of speech tag assigned to preceding word Probability that part of speech tag feature 3 is assigned to last word in [r] ... See full document
6
Comparative Analysis of Advanced Algorithms for Feature Selection
... for feature weight ...the feature weight vector in the RELEIF algorithm, the results will fluctuate with the instances, which lead to poor evaluation ...novel feature selection ... See full document
6
Classification of extremist text on the web using sentiment analysis approach
... automated classification system for web pages obtained from extremist Websites through the ...links based upon keyword searches through the Internet, extracts web pages and analyses each page visited ... See full document
6
Target Based Speech Act Classification in Political Campaign Text
... input, based on the NLTK sentence tokenizer (Bird et ...utterances based on token-level segmentation, in the form of a BI binary sequence classification task using a CRF model (Hernault et ...tags ... See full document
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