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Topic Modelling Of American Presidential Inaugural Speeches Using QDA Miner/WordStat

 

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By Dr Gwinyai Nyakuengama

(1 February 2019)

 

KEY WORDS

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.

 

Most Frequent Words In The Murray-Darling Basin Royal Commission Report

By Dr Gwinyai Nyakuengama

(1 February 2019)

 

KEY WORDS

Murray-Darling Basin Royal Commission Report; QDA Miner/WordStat; Word-cloud.

 

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SOURCE: https://apo.org.au/node/217606

 

A  Word-cloud based on the Murray-Darling Basin Royal Commission Report

MDBRC

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.

 

 

Predicting flight classes using unsupervised Machine Learning in Stata: Principal Component Analysis and Discriminant Analysis

 

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By Dr Gwinyai Nyakuengama

(10 January 2019)

 

KEY WORDS

Stata commands: pca, discrim logistic, discrim lda, discrim knn and candisc; Unsupervised Machine Learning; Accuracy and Error Rates; Principal Component Analysis; Linear Discriminant Analysis; Dimension Reduction; Eigenvalues; Customer Satisfaction Survey Results.

 

Predicting flight classes using unsupervised Machine Learning in Stata – Principal Component Analysis and Discriminant Analysis