Coursera - Text Mining and Analytics (The University of Illinois at Urbana-Champaign)

Coursera - Text Mining and Analytics (The University of Illinois at Urbana-Champaign) - Printable Version

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Coursera - Text Mining and Analytics (The University of Illinois at Urbana-Champaign) - aretr - 08-05-2019

[Image: 1907291354160096.jpg]

Coursera - Text Mining and Analytics (The University of Illinois at Urbana-Champaign)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~50 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 12:07:13 | 1014 MB
Genre: eLearning Video / Data Clustering Algorithms, Probabilistic Models, Sentiment Analysis
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.

Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications.

General
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Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 15.7 MiB
Duration : 11 min 44 s
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Video
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Duration : 11 min 44 s
Bit rate : 50.0 kb/s
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Language : English

Audio
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Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 11 min 44 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 10.8 MiB (69%)
Language : English
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Alternate group : 1

Screenshots

[Image: 1907291354180110.jpg]

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Code:
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