Source: https://kdd.ics.uci.edu/databases/eeg/
Electroencephalogram (EEG); Alcoholics; RapidMiner Auto Model; Automatic Feature Engineering; Machine Learning; Classification; Deep Learning; Decision Tree; Random Forest; Gradient Boosted Tree; Support Vector Machine.
Automatic Feature Engineering with RapidMiner Auto Model_by_DrGwinNyakuengama_DatAnalytics_20190206
Murray-Darling Basin Royal Commission Report; Topic Modelling; Keyword; Proximity map; Named Entity.
A Brief Text Analysis of the Murray-Darling Basin Royal Commission Report
![On The American Presidents Inaugural Speeches [Autosaved] - 20190123.gif](https://i0.wp.com/dat-analytics.net/wp-content/uploads/2019/01/On-The-American-Presidents-Inaugural-Speeches-Autosaved-20190123.gif?resize=825%2C464&ssl=1)
American Presidential inaugural speeches; QDA Miner/WordStat; Natural Language Processing (NLP); Topic Modelling; Co‑occurrence Analysis; Heat Maps; Similarity Index; Deviance Table; Term Document- Inverse Document Frequency (TD-IDF); K-Nearest Neighbour.
Topic Modelling Of American Presidential Inaugural Speeches Using QDA Miner and WordStat – 20190201
Appendix 1: Linked media referenced in the document above.
Murray-Darling Basin Royal Commission Report; QDA Miner/WordStat; Word-cloud.
SOURCE: https://apo.org.au/node/217606
A Word-cloud based on the Murray-Darling Basin Royal Commission Report
Interpretation
The most frequent words in the report are the Basin Plan, Water ACT, Climate Change and Murray Darling (Basin).
Water Resources, Murray Darling Authority and Environmental Outcomes are also frequently mentioned.
Software used: Provalis Research’s QDA Miner/WordStat
Acknowledgement
We thank the author of the report, the Murray-Darling Basin Royal Commission.
Electroencephalography (EEG); Machine Learning Models; QDA Miner/WordStat.
Reliably Using QDA MinerWordStat To Identify Alcoholics From Their EEGS
