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R studio analysis of tweets (URGENT)

Task need to be done as fastest possible.

Prepare a text mining model in R for the following tasks. Perform the

preprocessing steps including tokenization, stop word elimination,

stemming, word + bi-grams investigation (frequencies), word+bi-gram

cloud, bi-gram graph. Use the results for topic mapping and/or

sentiment analysis. Explain the results. Select one of the following

source:

1. Donald Trump tweets

Need to have:

 preprocessing steps with explanation

 topic mapping or sentiment analysis with explanation

 documentation

Квалификация: Статистический анализ, Статистика, Язык программирования R, Интеллектуальный анализ данных

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О работодателе:
( 0 отзыв(-а, -ов) ) Montenegro

ID проекта: #22796915

Поручен:

anchalsingh0005

Hello, ‌Hope you doing well.I have checked all your requirements and we able to do this and deliver in time.I have 5 years of experience in these types of [login to view URL], i believe we can do that work with your support. ‌Rega Больше

$90 USD за 2 дней(-я)
(19 отзывов(-а))
4.3

4 фрилансеров(-а) в среднем готовы выполнить эту работу за $116

olaideejiwole

I have extensive experience in the domains of Natural Language Processing, Image Recognition & Artificial Intelligence,Recommender Systems,Machine learning,Data Minning, NS3 simulation, Omnet++, Sumo simulation, R stu Больше

$35 USD за 1 день
(49 отзывов(-а))
6.0
Statxn

HELLO! As an: - Bachelor of Applied Mathematics - Engineer in Statistics and Applied Economics - Microsoft Office Technician (Microsoft Graduate: MOS Diploma), - I have skills in programming language R, Python, Minita Больше

$140 USD за 3 дней(-я)
(58 отзывов(-а))
5.3
yuri20198

Hello, I have done this 2 days ago with python. I can do it with R now for you. Thanks

$200 USD за 7 дней(-я)
(1 отзыв)
2.5