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all_stopwords extra_stopwords "ssä "lle "h. In the context of some of the Twitter research Ive been doing, I decided to try out a few natural language processing (NLP) techniques. Note that I included extra stopwords of my own. The try_load_or_process function attempts to load the previously saved output from a function. Split(r s s) if len(words) 0: for w in words: if w is not None: w rip.lower if space or w "n" or w "r w None if len(w) 1: w None if w is not None: tokens. Txt filename in(save_dir, "data.

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Plot_dir in(save_dir, "plots if not. So far, word2vec has produced perhaps the most meaningful results. ild_vocab(sentences) print Word2Vec vocabulary length len(word2vec. Open(filename, "r encoding"utf-8 as f: ret json. Wvword metadata word "n" metadata_file in(save_dir, "metadata. Well create a word2vec model with the cleaned token set, create tensorboard embeddings (for the visualizations mentioned above and calculate T-SNE. Append(tokens) if count 50 0: print_progress(count, max_s) return ret. Cpu_count num_features 200 epoch_count 10 sentence_count len(sentences) w2v_file in(save_dir, "word_vectors. Dump errors out on certain miten selviytyä dating kiireinen mies non-ascii characters when paired with. Float32, ape) set_x sign(X, place, validate_shapeFalse) obal_variables_initializer n(set_x, feed_dictplace: embedding) summary_writer leWriter(save_dir, aph) config ojectorConfig embedding_conf d embedding_conf. Write(w u s u"n return output The next function implements standalone code for creating a scatterplot from the output of T-SNE on a set of data points obtained from a st_similar query.

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