--- tags: - text-classification library_name: fasttext widget: - text: "dialectics" example_title: "dialectics" - text: "schizoanalysis" example_title: "schizoanalysis" - text: "praxis" example_title: "praxis" - text: "topicality" example_title: "topicality" --- # debate2vec Word-vectors created from a large corpus of competitive debate evidence, and data extraction / processing scripts #usage ``` import fasttext.util ft = fasttext.load_model('debate2vec.bin') ft.get_word_vector('dialectics') ``` # Download Link Github won't let me store large files in their repos. * [FastText Vectors Here](https://drive.google.com/file/d/1m-CwPcaIUun4qvg69Hx2gom9dMScuQwS/view?usp=sharing) (~260mb) # About Created from all publically available Cross Examination Competitive debate evidence posted by the community on [Open Evidence](https://openev.debatecoaches.org/) (From 2013-2020) Search through the original evidence by going to [debate.cards](http://debate.cards/) Stats about this corpus: * 222485 unique documents larger than 200 words (DebateSum plus some additional debate docs that weren't well-formed enough for inclusion into DebateSum) * 107555 unique words (showing up more than 10 times in the corpus) * 101 million total words Stats about debate2vec vectors: * 300 dimensions, minimum number of appearances of a word was 10, trained for 100 epochs with lr set to 0.10 using FastText * lowercased (will release cased) * No subword information The corpus includes the following topics * 2013-2014 Cuba/Mexico/Venezuela Economic Engagement * 2014-2015 Oceans * 2015-2016 Domestic Surveillance * 2016-2017 China * 2017-2018 Education * 2018-2019 Immigration * 2019-2020 Reducing Arms Sales Other topics that this word vector model will handle extremely well * Philosophy (Especially Left-Wing / Post-modernist) * Law * Government * Politics Initial release is of fasttext vectors without subword information. Future releases will include fine-tuned GPT-2 and other high end models as my GPU compute allows. # Screenshots ![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec.jpg) ![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec2.jpg) ![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec3.jpg)