[PDF] Top 20 Text Classification and Classifiers: A Comparative Study

... Text classification is very helpful in the field of text mining, The volume of electronic information is increase Day by Day and its extracting knowledge from these large volumes of ...The ... See full document

... selected classification approach. There are many classification methods are developed in the machine learning such as Bayesian classification model (NB), K-nearest neighbor classification ... See full document

... a comparative study on the performance of various machine learning (“ML”) approaches for classifying judgments into legal ...model-based classifiers, performed well with as little as a few hundred ... See full document

... common terms that occur in several documents[37] such as the stopwords, and consequently resulting in a better performance accuracy[10], but these words were not removed from the dataset. This suggests that there were ... See full document

... of classification is to build a mapping function that assigns class labels to each new instance or to verify the appropriateness of class labels already ...the classifiers[12] considered are: Network Based ... See full document

... databases, classification with multi feature aggregation could provide very interesting rules that are much more meaningful to the end–user by allowing temporal ... See full document

... for text catego- rization on three different standards and popular text collection to examine the performance of using principle components analysis (PCA) with different text classifiers; ... See full document

... Outcomes are presented images with brain tumor and extrication of affected fragment of the brain. The SVM technique used for classification provided more accurate results compared to Linear SVC and Decision Tree ... See full document

... robin classification with binary ...(Q-1)/2 classifiers covering all pairs of ...these classifiers, the pairwise classification method naturally adopts the majority-voting ...(Q-1)/2 ... See full document

... kNN is a good example of instance-based classifiers. The idea of kNN can be explained as follows: given a test document to be classified, the algorithm searches for the k nearest neighbors among the pre- ... See full document

... Support Vector Machine (SVM) is one of the well-known classification methods for text classification. SVM has the flexibility in choosing a similarity function SVM also has Sparseness of solution ... See full document

... the classification performance, requires huge memory, and consumes more computational ...data classification using a comparative study of four different classifiers, multiple linear ... See full document

... The preprocessing in this is done by binarization, deskewing .Comparative study of recognition of handwritten and printed character and numerals by Nearestneighbour classifiers was prese[r] ... See full document

... for classification and prediction, extraction and summarization of sentiments and emotions expressed by various peoples in online text ...different text-granularity ...Mining, Text ... See full document

... Abstract— Classification deals with the kind of data mining problem which are concerned with ...general Classification can be viewed as the action or process of classifying ...a comparative ... See full document

... Online social networking sites are becoming more popular each day, such as Facebook, Twitter, and LinkedIn Among all these sites, Twitter is the fastest growing site than any other social networking site. Twitter has ... See full document

... Jefferson Provost,[12] used subject and body as features and compared Naïve Bayes algorithm with RIPPER rule learning and showed that Naïve Bayes (87%) achieve better accuracy over RIPPER (78%). Liu Pei-yu et al (2009) ... See full document

... four classifiers to map the characteristics into the ...to classification. Therefore, this study propose mapping the students’ characteristics into Integrated Felder Silverman (IFS) learning styles, ... See full document

... Online social networking sites like Orkut, YouTube, and Facebook are among the most popular sites on the Internet.Users of these sites forms a social network, which provides a powerful means of sharing, organizing, and ... See full document

... Winarsih and Supriyanto(2016) evaluated the performance of different Machine Learning classifiers such as KNN, SVM, NB, and minimal optimization for emotion classification from Indonesian text. ... See full document