{ "info": { "author": "KATHURIA Pulkit", "author_email": "pulkit@jaist.ac.jp", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Natural Language :: English", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "Sentiment Classification using WSD\n==================================\n\n- ``pip install sentiment_classifier``\n- `Home `_\n- `Download `_\n- `Github `_\n- `Try Online `_\n\n\nOverview\n--------\n\nSentiment Classifier using Word Sense Disambiguation using ``wordnet`` and word occurance\nstatistics from movie review corpus ``nltk``. Classifies into positive and negative categories.\n\nOnline Demo\n-----------\n\n- `Try Online `_\n\n\nRequirements\n------------\n\nIn ``Version 0.5`` all the following requirements are installed automatically. In case of troubles install those manually.\n\n- You must have Python 2.6.\n- NLTK http://www.nltk.org 2.0 installed. \n- NumPy http://numpy.scipy.org\n- SentiWordNet http://sentiwordnet.isti.cnr.it \n\n\nHow to Install\n--------------\n\nShell command ::\n\n python setup.py install\n\nDocumentation\n-------------\n\n- http://pythonhosted.org/sentiment_classifier/\n \n\nScript Usage\n------------\n\nShell Commands::\n\n senti_classifier -c file/with/review.txt\n\nPython Usage\n------------\n\nShell Commands ::\n\n cd sentiment_classifier/src/senti_classifier/\n python senti_classifier.py -c reviews.txt\n\nLibrary Usage\n-------------\n\n::\n \n from senti_classifier import senti_classifier\n sentences = ['The movie was the worst movie', 'It was the worst acting by the actors']\n pos_score, neg_score = senti_classifier.polarity_scores(sentences)\n print pos_score, neg_score\n ... 0.0 1.75\n\n::\n\n from senti_classifier.senti_classifier import synsets_scores\n print synsets_scores['peaceful.a.01']['pos']\n \n ... 0.25\n\n\nHistory\n=======\n\n- ``0.6`` Bug Fixed upon nltk upgrade\n- ``0.5`` No additional data required trained data is loaded automatically. Much faster/Optimized than previous versions.\n- ``0.4`` Added Bag of Words as a Feature as occurance statistics\n- ``0.3`` Sentiment Classifier First app, Using WSD module", "description_content_type": null, "docs_url": "https://pythonhosted.org/sentiment_classifier/", "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.jaist.ac.jp/~s1010205/sentiment_classifier", "keywords": null, "license": "LICENSE.txt", "maintainer": null, "maintainer_email": null, "name": "sentiment_classifier", "package_url": "https://pypi.org/project/sentiment_classifier/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/sentiment_classifier/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://www.jaist.ac.jp/~s1010205/sentiment_classifier" }, "release_url": "https://pypi.org/project/sentiment_classifier/0.7/", "requires_dist": null, "requires_python": null, "summary": "Sentiment Classification using Word Sense 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