Using Different Types of Stemmer - 1392 Words

Experimental Setup Preprocessing Data Preprocessing is actually a trail to improve text classification by removing worthiness information. In our work document preprocessing involve removing punctuation marks, numbers, words written in another language, normalize the documents by (replace the letter (Ø £ Ø ¥ Ø ¢ ) with (Ø §), replace the letter (Ø ¡ Ø ¤ ) with (Ø §), and replace the letter(Ù‰) with (Ø §). Finally removing the stop words, which are words that can be found in any text like prepositions and pronouns. The rest of words are returned and are referred to as keywords or features. The number of these features is usually large for large documents and therefore some filtering can be applied to these features to reduce their number and remove redundant features. Features Extraction Text is categorized by two types of features, external and internal. External features are not related to the content of the text, such as author name, publication date, author gender, and so on. Internal features reflect the text content and are mostly linguistic features, such as lexical items and grammatical categories[www]. In our work, words were treated as a feature on three levels: using a bag of words form, word stem, in which the suffix and prefix were removed and word root. With all these features we need to extract and generates the frequency list of the dataset features (single words) and save it in a training file. Feature Selection The output of feature extraction step isShow MoreRelatedA Experiment On Bacterial Transformation Essay1710 Words   |  7 Pagesampicillin. The results for the fluorescence of the plates was that only the +pGLO plate with LB, ampicillin and the arabinose sugar glowed. Introduction: Genetic transformation has the ability to alter genes, thus leading to the expression of different phenotypes. 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This document does not provide you with any legal rights to any intellectual property in anyRead MoreReal Time Big Data Processing With Machine Learning10401 Words   |  42 PagesJasleen Kaur Raghav Munjal Shubham Rajvanshi Della Sivakumar Data is a powerful weapon as well as a resource. Having data does not make you powerful but what you do with it makes all the difference. Companies like Amazon, eBay and Netflix are already using data to predict user behavior and utilizing that to increase their revenue. But processing data in real time is not an easy task. The data today has great volume, is veracious in nature and is increasing at an enormous rate and hence has been given