Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media (such as blog articles, forum posts, product reviews, and tweets). This has led to an increasing demand for powerful softw
Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining
β Scribed by ChengXiang Zhai, Sean Massung
- Publisher
- ACM Books
- Year
- 2016
- Tongue
- English
- Leaves
- 531
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Databases & Big Data;Access;Data Mining;Data Modeling & Design;Data Processing;Data Warehousing;MySQL;Oracle;Other Databases;Relational Databases;SQL;Computers & Technology;Storage & Retrieval;Network Administration;Networking & Cloud Computing;Computers & Technology;Database Storage & Design;Computer Science;New, Used & Rental Textbooks;Specialty Boutique
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Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages availab
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages availab
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages availab
</div><div class='box-content'><ul><li><p><span class="review_text"><P/>"TheyΒve done it again. From the same industry leaders who brought you the "bible" of data mining comes the definitive, go-to text mining resource. This book empowers you to dig in and seize value, with over two dozen hands-on t
<p><i>Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications</i> brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.</p> <p>Winner of a 2012 PROSE Award in Computing an