Overview
In this blog post, I provide a worked example demonstrating how to perform an analysis of blanks on a target dataset. When analyzing data a typical first step is to get an understanding of where there are missing values. Identifying where there are missing values in your data can help you make more informed decisions about your analysis approach.
Overview
This article demonstrates how to perform a word count analysis in Flow. In this blog post, I provide a worked example showing how to take in unstructured natural language data and compute a unigram language model against that data. The result of the language analysis returns a new profile dataset which holds each unique token present in our natural text and the count of times each word occurred. This blog post teaches a quick one-step technique for doing an initial exploratory analysis of natural text data.
Overview
In this blog post, I provide a worked example demonstrating how to design a workflow which extracts and analyzes cryptocurrency news articles using artificial intelligence. I explain how to use the HTML integration interface to extract links for all top news stories from a target website into data. I show how to use generic expressions to transform and clean the raw links, preparing them for processing. Flow is used to loop through each of the structured links and invoke the built-in Watson artificial intelligence functions to perform advanced cognitive analytics against the text of each news article. Flow collects the results of the cognitive analysis and compiles an aggregate dataset of sentiments, emotions, concepts, topics, keywords, and named entities for all of the supplied articles. I finish the example by showing how to compute hypercubes against the cognitive output to summarize the results and generate various multidimensional views.
Overview
This article demonstrates how to use artificial intelligence in order to perform keyword research for search engine optimization. Watson cognitive actions are leveraged in order to decompose keywords from competitor websites. Keywords are compiled into a dataset in order to provide better insight into potential SEO strategy.