It takes the average reader 5 hours and 52 minutes to read Text Data Mining by Chengqing Zong
Assuming a reading speed of 250 words per minute. Learn more
This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining,...
Text Data Mining by Chengqing Zong is 351 pages long, and a total of 88,101 words.
This makes it 118% the length of the average book. It also has 108% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 1 minute to read Text Data Mining aloud.
Text Data Mining is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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