This document summarizes some potentially useful papers and code repositories on Sentiment analysis / document classification
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-- JitBit SQL Interview Questions (Posted on Hacker News) | |
-- http://www.jitbit.com/news/181-jitbits-sql-interview-questions/?utm_source=hackernewsletter&utm_medium=email | |
-- Schema: | |
-- employees table | |
-- EmployeeID | |
-- DepartmentID | |
-- BossID | |
-- Name | |
-- Salary |
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''' | |
Mathematical expression learning experiment | |
Giuseppe Bonaccorso (https://www.bonaccorso.eu) | |
Based on: http://machinelearningmastery.com/learn-add-numbers-seq2seq-recurrent-neural-networks/ | |
''' | |
from __future__ import print_function | |
from keras.models import Sequential |
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// Programming challenge: rotating a matrix 90 degrees in place | |
// Original post: https://blog.svpino.com/2015/05/10/programming-challenge-rotating-a-matrix-90-degrees-in-place | |
public class RotatingMatrix90DegreesInPlace { | |
private static int[][] matrix = { | |
{ 1, 2, 3, 4 }, | |
{ 5, 6, 7, 8 }, | |
{ 9, 10, 11, 12 }, | |
{ 13, 14, 15, 16 } |
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#! /bin/sh | |
# update glibc to 2.17 for CentOS 6 | |
wget http://copr-be.cloud.fedoraproject.org/results/mosquito/myrepo-el6/epel-6-x86_64/glibc-2.17-55.fc20/glibc-2.17-55.el6.x86_64.rpm | |
wget http://copr-be.cloud.fedoraproject.org/results/mosquito/myrepo-el6/epel-6-x86_64/glibc-2.17-55.fc20/glibc-common-2.17-55.el6.x86_64.rpm | |
wget http://copr-be.cloud.fedoraproject.org/results/mosquito/myrepo-el6/epel-6-x86_64/glibc-2.17-55.fc20/glibc-devel-2.17-55.el6.x86_64.rpm | |
wget http://copr-be.cloud.fedoraproject.org/results/mosquito/myrepo-el6/epel-6-x86_64/glibc-2.17-55.fc20/glibc-headers-2.17-55.el6.x86_64.rpm | |
sudo rpm -Uvh glibc-2.17-55.el6.x86_64.rpm \ |
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def dot_product(x, kernel): | |
""" | |
Wrapper for dot product operation, in order to be compatible with both | |
Theano and Tensorflow | |
Args: | |
x (): input | |
kernel (): weights | |
Returns: | |
""" | |
if K.backend() == 'tensorflow': |
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package fx.jvm.hotspot.tools; | |
import java.util.List; | |
import sun.jvm.hotspot.tools.Tool; | |
public class PrintThreadIds extends Tool { | |
public static void main(String[] args) { | |
PrintThreadIds tool = new PrintThreadIds(); | |
tool.start(args); |
With NLTK version 3.1 and Stanford NER tool 2015-12-09, it is possible to hack the StanfordNERTagger._stanford_jar
to include other .jar
files that are necessary for the new tagger.
First set up the environment variables as per instructed at https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software