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Date : 2018-03-20

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Automated Text Classification Using Machine Learning ~ Text classification is a smart classification of text into categories And using machine learning to automate these tasks just makes the whole process superfast and efficient Artificial Intelligence and Machine learning are arguably the most beneficial technologies to have gained momentum in recent times They are finding applications everywhere

Machine Learning — Text Processing Towards Data Science ~ Machine Learning — Text Processing GloVe constructs an explicit wordcontext or word cooccurrence matrix using statistics across the whole text corpus The result is a learning model that may result in generally better word embeddings Consider the following example Target words ice

Machine Learning for Text Charu C Aggarwal ~ Text analytics is a field that lies on the interface of information retrieval machine learning and natural language processing This book carefully covers a coherently organized framework drawn from these intersecting topics

Text Extraction From Images Using Machine Learning Addepto ~ The text extraction and enhancement methods are applied with the help of machine learning algorithms And finally the extracted text is collected from the image and transferred to the given application or a specific file type There are many types of text extraction algorithms and techniques that are used for various purposes

How Good Is Machine Learning at Understanding Text The ~ Learning to Ask Questions As usual having large datasets to train and test with is helping researchers improve the performance of reading comprehension models — but creating those data sets is slow and expensive making it harder to use machine reading for topics where there isn’t a good test data set to learn from

Machine Learning for Text Charu C Aggarwal Springer ~ The first textbook to cover machine learning of text in a holistic way which includes aspects of mining language modeling and deep learning Includes many examples to simplify exposition and facilitate in learning Semantically understandable illustrations are provided so that they can be used in classroom teaching

How to Prepare Text Data for Machine Learning with scikit ~ A simple and effective model for thinking about text documents in machine learning is called the BagofWords Model or BoW The model is simple in that it throws away all of the order information in the words and focuses on the occurrence of words in a document This can be done by assigning each word a unique number

Machine Learning for Natural Language Processing Lexalytics ~ Machine learning for NLP and text analytics involves a set of statistical techniques for identifying parts of speech entities sentiment and other aspects of text The techniques can be expressed as a model that is then applied to other text also known as supervised machine learning