[PDF] Top 20 Innovative Techniques for Text Classification

... Automatic Text Classification is a semi-supervised machine learning task that automatically assigns a given document to a set of pre-defined categories based on its textual content and extracted features ... See full document

... relevant text span in a reference paper that corresponds to a citation in another document that cites this ...classification techniques. They employ both unsupervised and supervised techniques ... See full document

... automatic text classification can be useful in building systematic reviews for medical topics to speed up the review- ing ...per-question classification method that uses an ensem- ble of classifiers ... See full document

... handle text as simple sequences of character ...patterns. Text mining refers generally to the process of extracting interesting information and knowledge from unstructured ...text. Text mining ... See full document

... Classification is a significant difficulty in data mining. In this work the proposed system settled three different kinds of neural network classifiers: MLP, SLA, RBFN classifier to measure the ... See full document

... When it acts on text e-mails, classification techniques of text seem to be efficient. However, spammers do not stop to invent tricks to avoid filters. One of these tricks is to include the ... See full document

... This paper describes a new approach to the classification of e-mail requests based on shallow text processing and machine learning techniques.. Customer care in technical domains is incr[r] ... See full document

... 4.2.2 K-Nearest Neighbor. In contrast to Na¨ıve Bayes classifica- tion, which is based on a probabilistic algorithm, the K-Nearest Neighbor classifier [10] relies on mathematically measuring the distance between ... See full document

... augmentation techniques for boosting performance on text classification ...five text classification tasks, we show that EDA improves perfor- mance for both convolutional and recurrent ... See full document

... polarity classification performance, we do not want to look insight into paraphrasing ...ing techniques to achieve opinion paraphrases for expanding training data and enriching text data for polarity ... See full document

... automatic text classification.[1] Text Classification is now being applied in many contexts, ranging from document indexing based on a controlled vocabulary, to document filtering, automated ... See full document

... presented text classification techniques in which SVM algorithm are used to reduce the dimension of bug data sets as well as improve the data quality and also this technique classify the bug data set ... See full document

... learning techniques initial introduced by Vapnik [37] and has been introduced in Text classification by ...classifier classification doesn't alter if documents that don't belong to the support ... See full document

... and Innovative Research (JETIR) www.jetir.org 3223 classification and indexing, as it makes the operation less dependent on particular forms of ...the text mining, NLP or IR ... See full document

... the text mining process, ontology can be used to provide expert, background knowledge about a ...automatic classification of incoming news using hierarchical news ontology, based on this ... See full document

... full text version to a document ...in text categorization, because irrelevant and redundant features often degrade the performance of classification algorithms both in speed and classification ... See full document

... The pre-processing stage is done by removing stop words and extracting features using TfidfVectorizer and CountVectorizer, the feature extraction function in the sklearn library. Classification in this stage is ... See full document

... Information Retrieval (IR) is finding a document of an unstructured nature usually text, that satisfies an information need within large collections of databases stored on computers. A typical information ... See full document

... ABSTRACT: Text classification is the undertaking of naturally sorting an arrangement of archives into classifications from a predefined ...Content Classification is an information mining procedure ... See full document

... for classification are ...Bayesian classification has shown that there are some theoretical reasons for this apparent unreasonable ...Bayes classification are low it delivers quite good results in ... See full document