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<h2 id="some-features-of-wordstat-9application-of-provalis-research-corps-statistical-content-analysis-text-mining-to-airline-safety-reports-pdf-retrieved-2023-09-17">Some features of WordStat 9<a class="footnote-ref" id="fnref:2" href="#fn:2"><sup>2</sup></a></h2> <ul><li>Categorization of content using user defined dictionaries.</li> <li>Classification of documents using Naïve-Bayes or <a href="/facts/K-nearest_neighbors_algorithm/Bs1UaAmE">k-nearest</a> neighbor algorithms applied either on words or concepts.</li> <li>Automatic topic extraction using first order (word co-occurrences) or second order (co-occurrence profiles) hierarchical clustering and multidimensional scaling.</li> <li>Topic modeling to extract the main themes using NNMF and Factor Analysis.</li> <li><a href="/facts/Correspondence_analysis/xWXNuCr4">Correspondence analysis</a> in order to identify words or concepts (or content categories) associated with any categorical meta-data associated with documents.</li> <li>Pre-and post-processing with R and python script</li> <li>Analyze more than 70 languages including Chinese, Japanese, Korean, Thai.</li> <li>Interactive word clouds and word frequency tables can now be obtained directly on keyword retrieval and keyword-in-context (KWIC) results allowing one to quickly identify words associated with specific content categories, or those appearing, before, after a specific target item.</li> <li>Relate unstructured text with structured data such as dates, numbers or <a href="/facts/Categorical_variable/3UQNkLqs">categorical data</a> for identifying temporal trends or differences between subgroups or for assessing relationship with ratings or other kind of categorical or numerical data.</li> <li>Visualization tools to visualize and interpret text analysis results: <ul><li>Dendrogram with optional bar chart</li> <li>2D and 3D Multidimensional scaling</li> <li>Proximity plot</li> <li>Heatmap (with dual clustering)</li> <li>Bubble chart</li> <li>Bar chart, pie chart, line chart, word clouds</li> <li>Correspondence plots (2D and 3D)<i></i></li></ul></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"LINGUIST List 15.1171: Software: Wordstat, v. 4". 10 April 2004. <a href="https://linguistlist.org/issues/15/15-1171/" target="_blank">https://linguistlist.org/issues/15/15-1171/</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>"Application of Provalis Research Corp.'s Statistical Content Analysis Text Mining to Airline Safety Reports" (PDF). Retrieved 2023-09-17. <a href="http://flightsafety.org/files/Provalis_text_mining_report.pdf" target="_blank">http://flightsafety.org/files/Provalis_text_mining_report.pdf</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> </ol>