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Closed Posted 7 years ago Paid on delivery

₹1500-12500 INR

Paid on delivery

Closed Paid on delivery

Natural Language Processing (NLP):

How well can you guess a review's rating from its text alone? What are the most common positive and negative words used in our reviews? And what kinds of correlations do you see between tips and reviews: Using Hadoop could you extract tips from reviews?. I will provide the datasets.

Hadoop Python

Project ID: #11748460

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7 proposals Remote project Active 7 years ago

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vikash06021991's Profile Picture
vikash06021991

Hi, this is Vikash. I have been into Hadoop and Big Data since past 3 years. I have been work on - 1. Map Reduce 2. Hive 3. Pig 4. HDFS 5. Spark I have done tasks like - 1. Sentimental Data Analysis 2. Twitt More

₹11111 INR in 3 days
(1 Review)
0.6
vaibhavgarg334's Profile Picture
vaibhavgarg334

I recently completed a project like this which was also categorizing the reviews to positive or negative ones. The system not only processes the data sheet using Big Data but also use suitable mathematics and visualiza More

₹10200 INR in 7 days
(0 Reviews)
0.0
pallavrj's Profile Picture
pallavrj

A complete solution with all the assistance will be provided

₹9444 INR in 5 days
(0 Reviews)
0.0
Sarahwparker's Profile Picture
Sarahwparker

I'm an expert in NLP and will provide you the words for each category, prediction, and also phrases in each sentences that create the model. I have some code already available from previous projects that I can refacto More

₹9090 INR in 4 days
(0 Reviews)
0.0
pradeepred's Profile Picture
pradeepred

I have 9 years of exeperience in IT industry with more than 2 years of experience in hadoop technologies like Hive,Pig,Sqoop,Map Reduce and Spark

₹7777 INR in 3 days
(0 Reviews)
0.0
gklm's Profile Picture
gklm

we are from GK land scape modellling private limited. we are expertise in big data hadoop we are young generation who are ready to take the project at a high quality and with affordable price. we have good technica More

₹11111 INR in 5 days
(0 Reviews)
0.0
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