Sentiment Analysis

twitter sentiment analysis r naive bayes hakim-azizul.com

Bermain Twitter dengan R (Part 6) – Sentiment Analysis dengan Naive Bayes (Go-Jek vs Grab vs Uber)

“Twitter and Facebook are brilliant- tools, the journalistic uses of which are still being plumbed. They are great for disseminating interesting material. They are useful for gathering information, including from places that are inaccessible.”

~ Bill Keller

Akhirnya, sampai juga kita di penghujung bagian dari pembahasan dasar sentiment analysis post Twitter menggunakan bahasa pemrograman R. 🙂Selengkapnya »Bermain Twitter dengan R (Part 6) – Sentiment Analysis dengan Naive Bayes (Go-Jek vs Grab vs Uber)

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Bermain Twitter dengan R (Part 5) – Sentiment Analysis (Go-Jek vs Grab vs Uber)

“The more complex the world situation becomes, the more scientific and rational analysis you have to have, the less you can do with simple good will and sentiment.”

~ Reinhold Niebuhr

Akhirnya (setelah berpanjang-panjang), sampailah kita pada pembahasan yang paling ditunggu-tunggu, hands-on sentiment analysis with R! Prok prok prok.. 😀

Material yang akan kita analisis sentimennya adalah tweet konsumen maupun media, tentang aplikasi transportasi online, yaitu Go-Jek, Grab, dan Uber. Sebelum dimulai, mohon dibaca peringatan berikut ini:Selengkapnya »Bermain Twitter dengan R (Part 5) – Sentiment Analysis (Go-Jek vs Grab vs Uber)

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Data Scientist, Data Science, Machine Learning, Statistics, Data Science Indonesia, Data Analytics, Data Analysis, Data Analyst, Data, Astronomy, Astronomer, Science, Python, iPython, Jupyter Notebook, R, RStudio, Excel, Coding, Koding, Cara Mengolah Data, Mengolah Data, Olah Data, Programming, Pemrograman, Sains, Teknologi, Ilmu Data, Teknologi Informasi, Tech in Asia, Teknologi, Technology, Sains, Bisnis, Business, Business Analyst, Business Analysis, Social Media Mining, Movie Review, Muhammad Azizul Hakim, Aziz

Bermain Twitter dengan R (Part 4) – Pengantar Algoritma Klasifikasi Sentimen

“All models are approximations. Essentially, all models are wrong, but some are useful. However, the approximate nature of the model must always be borne in mind.”

~ George E. P. Box

Pada postingan minggu lalu, kita telah membahas langkah-langkah opinion mining/sentiment analysis. Pada pembahasan kali ini, kita akan sedikit membahas mengenai beragam algoritma yang biasa digunakan untuk mengklasifikasikan sentimen.Selengkapnya »Bermain Twitter dengan R (Part 4) – Pengantar Algoritma Klasifikasi Sentimen

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Data Scientist, Data Science, Machine Learning, Statistics, Data Science Indonesia, Data Analytics, Data Analysis, Data Analyst, Data, Astronomy, Astronomer, Science, Python, iPython, Jupyter Notebook, R, RStudio, Excel, Coding, Koding, Cara Mengolah Data, Mengolah Data, Olah Data, Programming, Pemrograman, Sains, Teknologi, Ilmu Data, Teknologi Informasi, Tech in Asia, Teknologi, Technology, Sains, Bisnis, Business, Business Analyst, Business Analysis, Social Media Mining, Movie Review, Muhammad Azizul Hakim, Aziz

Bermain Twitter dengan R (Part 3) – Pengantar Sentiment Analysis

“While the individual man is an insoluble puzzle, in the aggregate he becomes a mathematical certainty. You can, for example, never foretell what any one man will be up to, but you can say with precision what an average number will be up to. Individuals vary, but percentages remain constant. So says the statistician.”

~ Arthur Conan Doyle

Sebelum kita masuk ke praktik/hands on pada sentiment analysis, ada baiknya kita pelajari bersama dahulu teori-teori di belakangnya, agar tidak terlalu black box. 🙂Selengkapnya »Bermain Twitter dengan R (Part 3) – Pengantar Sentiment Analysis

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