With advances in new technologies available for software development, text mining has grown in importance in the area of Requirements Engineering (ER) due to the availability of large amounts of information on the Web. The use of visualization techniques gains importance in this regard, since it allows the speedup of knowledge discovery with appropriate visualizations. This work provides a strategy for the requirements engineer to gain access, in an organized manner, to results of research in text mining with visualization in ER. For implementation, the classification of mining tasks and the visualizations categories in ER were summarized from the literature. This classification forms the knowledge base of a software (Digital Library) that organizes and filters information according to the interrelation between tasks and categories, showing the research that supports each relationship. For the evaluation of the strategy, with a focus on software, an evaluation was carried out that shows the potential of the approach to expedite the knowledge engineer s requirements.