Data Science, Science, Research, Text Mining, Hands On Tutorials.
year mapping_ = {'2018to2019':2018,'2019to2020':2019,'2020to2021':2020,'2021to2022':2021,'2022to2023':2022} global_word_list = list() for key_,value_ in keywords_dict.items(): Ntitles = len( value_ ) flattened_list = list( itertools.chain(*value_) ) flattened_list = [ x.lower() for x in