Optimization of Text Classification Using Supervised and Unsupervised Learning Approach
نویسندگان
چکیده
Text Classification, also known as text categorization, is the task of automatically allocating unlabeled documents into predefined categories. Text Classification means allocating a document to one or more categories or classes. The ability to accurately perform a classification task depends on the representations of documents to be classified. Text representations transform the textural documents into a compact format. Text Classification plays an important role in information mining, summarization, text recovery and question-answering. It uses several tools from information retrieval (IR) and Machine Learning. Here we are reviewing the effectiveness of different supervised and unsupervised learning approaches in text classification. KeywordsText Mining, Text Classification, Feature Extraction,Term Weighting, Linear SVC, SGD,K-Mean with cosine similarity.
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