This poster will introduce several freely available tools for text mining women’s and gender studies literature that can be used by librarians and other scholars to explore new avenues of research. Text mining allows researchers to analyze large quantities of text pulled from repositories of literature, including digitized books, journals, magazines, manuscripts, and transcripts. Scholars can use these tools to enhance thematic analysis, to explore the evolution of discipline-specific terminology over time, to track cultural trends, and to find unexpected relationships among concepts. Text mining tools in this review will include Google Books Ngram Viewer (as well as instances of this tool, such as bookworm: HathiTrust and Robots Reading Vogue), the Corpus of Contemporary American English (COCA), and JSTOR Data for Research. This poster will provide an overview of the features of each tool as well as visual examples of how each one can be applied to women’s and gender studies research.