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Version 1.1.0 This version of Introduction to Cultural Analytics & Python introduces a number of updates and revisions. Multilingual Text Analysis Resources Thanks to @quinnanya, we now have text analysis notebooks to support languages beyond English, including Chinese, Danish, Portuguese, Russian, and Spanish. Twarc2 I have added a section on using twarc2 (@DocNow) to collect and analyze tweets with v2 of the Twitter API and the academic research track. Sentiment Analysis I have added a section to the Text Analysis chapter on using the sentiment analysis tool VADER (@cjhutto). Workbooks For some chapters, I have added "workbooks" that readers can use to practice the lessons learned in chapters. Restructure Files I have restructured the files and directories so that the files are numbered and easier to keep track of. I used a sphinx extension Sphinxext-rediraffe to redirect old links to the current links. 404 Page I also added a custom 404 page with the extension Sphinx-Notfound-Page.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 25 |

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