Using Content Mining & Text Analytics to Profile B2B Buyers & Accelerate Sales
Matching relevant content to specific buyers along the buying journey is crucial in increasing the likelihood of successful sales conversion in business to business
transactions. Using content relevant for such transactions, we perform a comparative study between a variety of algorithms, ranging from traditional machine learning algorithms to recent breakthroughs in deep learning. We compare performance measures of these algorithms for both sparse and dense data applications within a classification framework.