{"database": "nicar", "table": "sessions", "rows": [[225, 4210, "Text mining in R with tidytext", "Do you want to analyze the themes, sentiment, and complexity of every State of the Union address, or analyze how Members of congress responded on Twitter to @realDonaldTrump? This session will introduce you to the tools needed to tackle these and other challenges in text analysis in R, using the tidytext package. This class is good for: those who are familiar with the basics of the tidyverse. ", 16, "2019-03-07", "2019-03-07 11:30:00", "2019-03-07 12:30:00", 0, 0, 0, "Peter Aldhous, Buzzfeed News", 3, null, 3, "Text mining in R with tidytext"]], "columns": ["rowid", "event_id", "name", "clean_description", "location_room", "start_date_clean", "start_time", "end_time", "pre_reg_flag", "paid_flag", "laptop_flag", "speakers_cleaned", "session_type", "keywords", "skill_level", "session_title"], "primary_keys": ["rowid"], "primary_key_values": ["225"], "units": {}, "query_ms": 0.36644935607910156}