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Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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Hi, Does anyone know how to get the accuracy, precision, recall and most informative features of Naive Bayes Classifier which is already trained using movie corpus data. Thank you

When a NLTKClassifier is initialized and `basic_extractor` used as the default extractor,the `word_features` in the same training data set will always be re-extracted in the loop of `self.train_features = [(self.extract_features(d),...

Is there any to preserve contractions when using TextBlob? For example I'd like to do something like: ``` text = 'I don't like it." TextBlob.words ``` and have `['I', "don't",...

I am using NLTK with NaiveBayes analyzer. This uses Movie corpus. Can i make it use some other NLTK corpus ?

Sir, with due respect, I would like to ask you that instead of training the classifier with sentences, is it possible to do so with words. Like: train = [...

Does anyone know how to assign prior probability to certain words in a train_set for better classification using a NaiveBayesClassifier For example: If i have a sentence/train_set like --> ('I...

Is it possible to get a word in source case? ``` Python >>>text = '''Main Python wrapper for correcting spelling and grammar mistakes.''' >>> blob = TextBlob(text) >>> blob.sentences[0].noun_phrases[0] 'python'...

Verified that this occurs in 0.10.0 :sob: ``` python >>> import textblob >>> textblob.TextBlob('gonna do this').words WordList(['gon', 'na', 'do', 'this']) ```

I love TextBlob, thank you so much for making this awesome Python tool :+1: I am wondering if there is a solution to a tokenization issue I'm seeing. Here's some...

Am struggling with sentence boundaries in textblob. Have put a bunch of examples below where the sentences are incorrectly classified - some of the other text systems do better than...