[PDF] Top 20 A Vector-Based Algorithm for Chinese Text Classification
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Wa Language Syllables Classification by Support Vector Machine Based on Genetic Algorithm
... Syllable classification, in essence, still belongs to pattern recognition[6], which can be summarized as "feature extraction syllable pattern ...feature vector as its classification ...syllable ... See full document
5
A novel classification algorithm based on incremental semi-supervised support vector machine
... semi-supervised algorithm based on the SVM makes the accuracy rate have different degrees of improvement, which proves that our algorithm can effectively enrich the knowledge structure of the SVM ... See full document
19
Sentiment Analysis Based Mining and Summarizing Using SVM-MapReduce
... Following performance evaluation graphs are showing the performance of dataset for all methods. This configuration is applied for SVM, SVM-LSA, SVM-MapReduce and SVM-MapReduce-LSA algorithms. In this paper, we col- ... See full document
5
An Improved KNN Text Classification Algorithm Based on Clustering
... assigning text document to one or more predefined categories according its content and the labeled training samples ...[1]. Text classification has been used ...of text classification ... See full document
8
Text Classification Mining Support on Categorize Support Vector Machine Based on GA
... proposed Text classification (also identified as text group or topic spotting) is the assignment of automatically categorization a set of text into a predefined ...web text in sequence ... See full document
5
PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... effective text processing ...and text classification ...the text deletes the inactive words first and merges the words like numbers and ...trait vector of the ... See full document
6
Time Based Analysis on Anomaly Detection and Classification of Data Stream
... time based analysis shows C- mean is most efficient algorithm for taking less time for processing the text classification of ...c-mean algorithm. As the performance of the proposed ... See full document
5
Affective Analysis of Chinese Sentences Based on Word2vec and SVC
... 0/1-2 classification is more difficult than 0-1 ...0/1-2 classification, and gives the specific experimental ...model classification effect on the test set in this ...support vector machine, ... See full document
8
Chinese Word Segmentation with Conditional Support Vector Inspired Markov Models
... in Chinese Word Segmentation ...support vector machine (SVM) utilization of unlabeled text ...unlabeled text corpus are mapped into low-dimensional space by adopting SOM ...feature ... See full document
7
Named Entity Recognition for Nepali Text Using Support Vector Machines
... probabilities based on the principle of making as few assumptions as possible, other than the constraints ...a classification problem, where every word is either part of some name or not part of any ... See full document
9
Human detection and tracking through temporal feature recognition
... ing algorithm, due to its demonstrated ...detection algorithm based on Support Vector Machine (SVM) [5] classification of temporal features automates the initialisation procedure of the ... See full document
5
Characterization of digital medical images utilizing support vector machines
... estimation algorithm that separates data in two classes, but since all classification problems can be restricted to consideration of the two-class classification problem without loss of generality, ... See full document
9
Text Classification and Classifiers: A Comparative Study
... of text classification is feature selection [7] to construct vector space, which improves the accuracy of a text ...for text classification a major problem is the high ... See full document
5
Falcon: A Novel Chinese Short Text Classification Method
... word vector model, the size of word vectors was set to 50 ( ...50-dimensional vector.). In word vector representa- tion, each word is represented as a vector in an arbitrary vector ... See full document
11
Heart Disease Prediction Approach Using Machine Learning
... clustering algorithm and SVM (support vector machine) classifier based prediction analysis technique is used for clustering and classification of the input ...propagation algorithm is ... See full document
6
CLASSIFICATION OF TEXT USING FUZZY BASED INCREMENTAL FEATURE CLUSTERING ALGORITHM
... Classical feature extraction methods uses algebraic transformations to convert the representation of the original high dimensional data set into a lower-dimensional data by a projecting process. Even though different ... See full document
6
Chinese Text Similarity Algorithm Based on Part-of-Speech Tagging and Word Vector Model
... In the corpus after semantic annotation, the annotated sentences generally contain multiple parts of speech. Through observation, it is found that the sentence patterns of the texts in the building materials field are ... See full document
7
A Text Classification Algorithm Based on PCA
... extraction based on the PCA dimensionality reduction, overcome the use of single feature extraction of defect to achieve better classification characteristics, the experimental results show that by use of ... See full document
6
A Radical-Aware Attention-Based Model for Chinese Text Classification
... on Chinese text classification with a special focus on the uti- lization of ...the Chinese text, we propose a Radical-aware Attention-based Four-Granularity (RAFG) model to ... See full document
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