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October 30, 2015 10:04
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Complex Politics: A Quantitative Semantic and Topological Analysis of UK House of Commons Debates http://arxiv.org/abs/1510.03797 | |
Practical Deep Text Learning https://dato.com/learn/gallery/notebooks/deep_text_learning.html?_ga=1.114440388.217578858.1445957127 | |
Code to reproduce experiments from the EMNLP 2015 paper about rumour classification. https://github.com/mlukasik/rumour-classification | |
Deep Learning for Natural Language Processing https://github.com/attardi/deepnl | |
Deep Learning, NLP, and Representations http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ | |
ML Perceptron in sklearn https://github.com/scikit-learn/scikit-learn/pull/5214 | |
Bayesian Optimization using xgboost and sklearn API https://github.com/mpearmain/BayesBoost | |
Pipeline http://blaze.pydata.org/blog/2015/10/19/dask-learn/ | |
TwitterAnomaly in Python https://github.com/wdm0006/pyculiarity | |
Comparing Python Clustering Algorithms https://github.com/lmcinnes/hdbscan/blob/master/notebooks/Comparing%20Clustering%20Algorithms.ipynb | |
NLTk Sentiment https://github.com/nltk/nltk/blob/develop/nltk/sentiment/vader.py | |
Pandas ML https://github.com/sinhrks/pandas-ml | |
Spark Summit Sentiment Notebooks https://databricks.com/resources/selected-notebooks#spark-summit-europe-demo | |
Speech act classifier https://github.com/gigasquid/speech-acts-classifier | |
Email parsing http://www.cs.cmu.edu/~vitor/codeAndData.html | |
cuiqiang/Mining-Purchase-Intention-from-Social-Media-Post, Xiweiy/Intern-TextMiningLogisticModel | |
https://github.com/gigasquid/speech-acts-classifier | |
Sarcasam https://github.com/MathieuCliche/Sarcasm_detector | |
Natural Language Understanding https://github.com/adityadevgupta/cs224u-project | |
NLU https://github.com/neozhangthe1/canonicity | |
Python parser https://github.com/emilmont/pyStatParser | |
Conversation corpus https://www.cs.ubc.ca/cs-research/lci/research-groups/natural-language-processing/bc3.html | |
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