WEBVTT 00:00:10.050 --> 00:00:12.960 The analyze stage is where you build and iterate 00:00:12.960 --> 00:00:14.650 on your visualizations. 00:00:14.650 --> 00:00:17.340 This is where you match your content set 00:00:17.340 --> 00:00:20.730 with the analytical tools you want to run against it. 00:00:20.730 --> 00:00:25.380 This combination produces a set of resulting visualizations. 00:00:25.380 --> 00:00:28.220 Analysis allows you to take hundreds or thousands 00:00:28.220 --> 00:00:32.520 of documents and use digital tools to analyze them in ways 00:00:32.520 --> 00:00:35.160 that would have been too time consuming without the help 00:00:35.160 --> 00:00:37.180 of computational algorithms. 00:00:37.180 --> 00:00:40.360 We have integrated six analysis tools 00:00:40.360 --> 00:00:42.320 into the Digital Scholar Lab. 00:00:42.320 --> 00:00:48.050 Those are clustering, named entity recognition, Ngrams, 00:00:48.050 --> 00:00:50.170 parts of speech tagger, 00:00:50.170 --> 00:00:53.780 sentiment analysis, and topic modeling. 00:00:53.780 --> 00:00:57.570 When a scholar or student undertakes a text mining 00:00:57.570 --> 00:01:01.400 project, they generally have a specific research question 00:01:01.400 --> 00:01:02.810 in mind. 00:01:02.810 --> 00:01:05.140 These research questions will often dictate 00:01:05.140 --> 00:01:08.660 which tools they will use to tease out the answer. 00:01:08.660 --> 00:01:12.150 That means that not all tools will be relevant to each project 00:01:12.150 --> 00:01:14.840 and you should let your research questions guide 00:01:14.840 --> 00:01:16.460 which tools you employ.