User contributions for Onnowpurbo

7 February 2017

• 23:0423:04, 7 February 2017 diff hist +1,172 N NLTK: Stemming Created page with "A word stem is part of a word. It is sort of a normalization idea, but linguistic. For example, the stem of the word waiting is wait. word-stem word stem Given words, NLTK ca..." current
• 23:0323:03, 7 February 2017 diff hist +21 Text mining →Corpus & Stemmers
• 23:0223:02, 7 February 2017 diff hist +1,413 N NLTK: Sastrawi Stemmer Created page with "Sastrawi Python Sastrawi Python is a simple python library which allows you to reduce inflected words in Indonesian Language (Bahasa Indonesia) to their base form (stem). Thi..."
• 23:0123:01, 7 February 2017 diff hist +29 Text mining →Corpus & Stemmers
• 21:2721:27, 7 February 2017 diff hist +13,741 N Testing the NLTK classifier on specific file Created page with " The following code run Naive Bayes movie review classifier. The code generate a list of the most informative features. Note: **movie review** folder is in the nltk. from i..." current
• 13:0813:08, 7 February 2017 diff hist +50 Text mining →Sentiment

6 February 2017

• 12:3112:31, 6 February 2017 diff hist +50 Keamanan Jaringan →URL Menarik
• 10:0410:04, 6 February 2017 diff hist +28 Python: Konfigurasi geckodriver dan selenium untuk browsing web →Instalasi Selenium dan Geckodriver

5 February 2017

• 22:2522:25, 5 February 2017 diff hist +1,204 N Python: browse-url.py Created page with " from selenium import webdriver import sys, getopt import argparse firefox_profile = webdriver.FirefoxProfile() firefox_profile.set_preference('permissions.default.image..." current
• 22:2322:23, 5 February 2017 diff hist +28 Sekitar Python →Selenium
• 22:2122:21, 5 February 2017 diff hist −174 Python: search-google.py No edit summary current
• 08:4908:49, 5 February 2017 diff hist +128 Python: NLTK cleaning text No edit summary current
• 08:4608:46, 5 February 2017 diff hist +25 Gephi No edit summary
• 08:3408:34, 5 February 2017 diff hist +12 Python: NLTK download corpus No edit summary current
• 06:5306:53, 5 February 2017 diff hist 0 NLTK: membuang kata penghubung yang tidak bermakna No edit summary current
• 06:0606:06, 5 February 2017 diff hist +604 Text mining →Sentiment
• 03:1103:11, 5 February 2017 diff hist −183 NLTK: membuang kata penghubung yang tidak bermakna No edit summary
• 03:1003:10, 5 February 2017 diff hist +195 NLTK: membuang kata yang tidak penting dan jarang dipakai No edit summary current
• 03:0903:09, 5 February 2017 diff hist +243 Python: cari-stopwords-freq.py No edit summary current
• 03:0703:07, 5 February 2017 diff hist +290 Python: cari-stopwords-common.py No edit summary current
• 01:3501:35, 5 February 2017 diff hist +57 N Python: NLTK install Created page with "Instalasi sudo apt install python-pip pip install nltk" current
• 01:3401:34, 5 February 2017 diff hist +27 Sekitar Python →NLTK
• 01:0301:03, 5 February 2017 diff hist +24 Gephi No edit summary

4 February 2017

• 23:2323:23, 4 February 2017 diff hist +113 NLTK: membuang kata yang tidak penting dan jarang dipakai No edit summary
• 23:0023:00, 4 February 2017 diff hist +124 NLTK: membuang kata penghubung yang tidak bermakna No edit summary
• 22:4022:40, 4 February 2017 diff hist +1,458 N NLTK: membuang kata penghubung yang tidak bermakna Created page with "Kata penghubung yang tidak bermakna, seperti, yang, ke, dari, hello, apa, mau, ..... bisa dibuang menggunakan cara * print kata 300 ranking teratas yang banyak dipakai * e..."
• 22:3322:33, 4 February 2017 diff hist +57 Text mining →Corpus & Stemmers
• 22:3122:31, 4 February 2017 diff hist +982 N NLTK: membuang kata yang tidak penting dan jarang dipakai Created page with "Untuk membuang kata2 yang tidak penting, langkah-nya * print kata yang frekuensi penggunaannya kecil, misalnya <20 * masukan ke dalam daftar corpus, misalnya, ~/nltk_data/..."
• 22:2522:25, 4 February 2017 diff hist +64 Text mining →Corpus & Stemmers
• 22:2522:25, 4 February 2017 diff hist −1 Python: NLTK stopwords →Jika sudah ada stopword current
• 22:1522:15, 4 February 2017 diff hist +1,764 N NLTK: membuat movie review bahasa indonesia Created page with "untuk menganalisa sentimen, nltk membutuhkan training / referensi tentang sentimen. Ini dilakukan menggunakan 1000 file text sentimen positif dan 1000 file text sentimen negat..." current
• 22:0722:07, 4 February 2017 diff hist +50 Text mining →Sentiment
• 11:5211:52, 4 February 2017 diff hist +56 Python: Translate No edit summary current
• 11:4711:47, 4 February 2017 diff hist +182 N Python: Translate Created page with "Instal pip install goslate Code import goslate gs = goslate.Goslate() print(gs.translate('hello world', 'de')) Hasilnya Hallo Welt id kayanya tidak jalan :( ... hik..."
• 11:4411:44, 4 February 2017 diff hist +41 Sekitar Python →Jaringan

3 February 2017

• 07:1507:15, 3 February 2017 diff hist 0 RaspberryPi: OpenELEC Instalasi No edit summary
• 07:1207:12, 3 February 2017 diff hist +1 RaspberryPi: OpenELEC Instalasi No edit summary
• 02:3302:33, 3 February 2017 diff hist +39 Text Mining: Sentiment Classifier →Cara Install
• 02:3202:32, 3 February 2017 diff hist +112 Text Mining: Sentiment Classifier →Persyaratan
• 02:2902:29, 3 February 2017 diff hist +70 Text Mining: Sentiment Classifier →Cara Install
• 02:2802:28, 3 February 2017 diff hist +5 Text Mining: Sentiment Classifier →Cara Install
• 02:2102:21, 3 February 2017 diff hist +16 Text Mining: Sentiment Classifier No edit summary
• 02:1902:19, 3 February 2017 diff hist −130 Text Mining: Sentiment Classifier No edit summary
• 02:1602:16, 3 February 2017 diff hist +1,130 N Text Mining: Sentiment Classifier Created page with "Sentiment Classifier using Word Sense Disambiguation using wordnet and word occurance statistics from movie review corpus nltk. Classifies into positive and negative categorie..."
• 02:1402:14, 3 February 2017 diff hist +39 Text mining No edit summary
• 02:0702:07, 3 February 2017 diff hist +68 Text mining →Corpus & Stemmers
• 01:3801:38, 3 February 2017 diff hist +50 Text mining →Sentiment
• 01:2601:26, 3 February 2017 diff hist −16 Text mining No edit summary
• 01:2101:21, 3 February 2017 diff hist +46 Text mining →Sentiment
• 01:0901:09, 3 February 2017 diff hist +4,413 N Text Classification for Sentiment Analysis – Naive Bayes Classifier Created page with "Sentiment analysis is becoming a popular area of research and social media analysis, especially around user reviews and tweets. It is a special case of text mining generally f..." current