We are a team of senior data scientists with background in statistics and computer science with more than 10 years of experience in the domain of textual analysis and text mining. SAS is the platform that we use for the implementation of projects of this nature by writing actual code and exploiting specific modules available on sentiment analysis. Volume is not an issue for us, as we are familiar with processing of large volumes of structured/unstructured data.
Our methodological approach focuses on the following pillars: Profiling of textual data for quality assurance, Data cleansing from non relevant characters/strings, Dictionary creation , Keyword generation , Application of similarity algorithms for finding matching among different strings or the content of textual fields, Model application for Clustering, Validation of the model
Our portfolio includes a series of successfully implemented projects in the field of text mining and we would be happy to add one more in the list!