| 000 | 01414cam a2200289zu 4500 | ||
|---|---|---|---|
| 001 | 88851008 | ||
| 003 | FRCYB88851008 | ||
| 005 | 20250107223336.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2014 fr | o|||||0|0|||eng d | ||
| 020 | _a9781783281770 | ||
| 035 | _aFRCYB88851008 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aDanneman, Nathan | |
| 245 | 0 | 1 |
_aSocial Media Mining with R _c['Danneman, Nathan', 'Heimann, Richard'] |
| 264 | 1 |
_bPackt Publishing _c2014 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aDanneman, Nathan | |
| 700 | 0 | _aHeimann, Richard | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88851008 _qtext/html _a |
| 520 | _aA concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience. | ||
| 999 |
_c67749 _d67749 |
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