If you want to take your exploration of text mining further and are new to programming, I would suggest starting wth R, an open source programming language originally developed for statistical analysis (that said, Python, another open source language, is a powerful alternative to R, and more popular in data science in general).
R has a strong community developing many easy-to-use packages with preprogrammed functions and decent documentation. The main R package repository, CRAN (Comprehensive R Archive Network) is "strictly maintained" and includes "elaborate checks" (Welbers 2016). There can be a lot of overlap in the packages, so I would also suggest starting with one (such as the tm package or quanteda) and sticking to it, at least for starters.
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