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        "author": "Raja Mohan Reddy",
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        "description": "# Utility Functions for python \n\n```\npip install chitti\n```\n\n## Pretty print\n```\nfrom chitti import pprint, pprint_nl\nbrands = ['apple', 'samsung', 'pixel', 'one plus']\n\npprint(brands)\nOUT:\napple\nsamsung\npixel\none plus\n\npprint_nl(brands)\nOUT:\napple\n\nsamsung\n\npixel\n\none plus\n```\n\n## Color Words in text\n```\nfrom chitti import color_words_in_text\ntext = 'camera is awesome and battery is good'\nwords = ['camera', 'battery']\ncolor_words_in_text(text, words, color='green', text_color='white')\n```\n\n## Train and Validation split\n\nSplits dataframe into train and val dataframes  \nSplit each category into 80% train and  20% val \n\n``` \nfrom chitti.train_test_split import train_val_split\n\npath = 'data.csv'\ndf = pd.read_csv(path)\n\ntext_col='Article_clean'\ntarget_col='NewsType'\ntrain_df, val_df = train_val_split(df, text_col=text_col, target_col=target_col, size=0.8)\n\nprint(train_df[target_col].value_counts())\nprint(val_df[target_col].value_counts())\n\n```\n\n## Download pretrained word vectors \n\nSupported Vectors:\n- GloVe.6B.50d \n- GloVe.6B.100d \n- GloVe.6B.200d \n- GloVe.6B.300d \n- GloVe.42B.300d \n- GloVe.840B.300d \n- GloVe.Twitter.25d \n- GloVe.Twitter.50d \n- GloVe.Twitter.100d\n- GloVe.Twitter.200d\n\nThis will download specified vector and creates two files\n- word_index.pkl => word2index dictionary\n- embedding_matrix.npy => Numpy matrix of size (vocab_size, embedding_size)\n\n``` \nfrom chitti.nlp import download_pretrained_vectors, download_pretrained_vectors_\ndownload_pretrained_vectors('GloVe.6B.50d')\ndownload_pretrained_vectors_('glove.6B.50d.txt')\n```\n\n## Text cleaning Utils\n``` \nfrom chitti.nlp import stem_words, lemmatize_words\nfrom chitti.nlp import remove_punctuation, remove_stopwords, space_punctuation\n\ntext = 'i, love. you    ..... ,,, !!! ?? ?> >> '\nprint(remove_punctuation(text))\nOUT:\n'i love you'\n```\n\n\n\n\n\n\n",
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