Kapalı

feature extraction and Sentiment Analysis of mobile (very basic model)

Will it be feasible to extract 5 key features from a mobile review like camera, sound, battery, processor etc and perform sentiment analysis only for that feature?‏

Suppose a review is like "camera is too good". our output should be camera-Positive sentiment‏

just for any 5 basic features‏

Sample dataset attached

Note: No tools should be used. This project should be developed using any algorithm

my maximum budget is 5000 RS.

Beceriler: Java

Daha fazlasını görün: feature of algorithm, algorithm and analysis, very basic, sentiment, MOBILE REVIEW, feature extraction using java, sentiment model, model review, sound mobile, model used, java mobile key, basic review, analysis algorithm, mobile key, feature extraction java, sentiment algorithm, java sentiment analysis, Feature extraction, sentiment analysis java, sentiment analysis using java, camera model, perform camera, camera java, camera java mobile, visual basic window mobile

İşveren Hakkında:
( 0 değerlendirme ) chennai, India

Proje NO: #6508254

4 freelancer bu iş için ortalamada 8991₹ teklif veriyor

jap2013

Hi, I can develop the sentiment analysis software. But, we have to use some external library for the analysis. If you agree with that, please let me know. Thanks.

in 5 gün içinde5555₹ INR
(5 Değerlendirme)
3.0
aphatwal

expertise in php/mysql,html,html-5,bootstrap,android,css,css-3,cakephp (MVC),LARAVEL-4,symfony-2,YII,have more than 11 year of experience we build more then 100 php/mysql projects worked on joomla,wordpress,magento Daha fazlası

in 40 gün içinde12631₹ INR
(0 Değerlendirme)
0.0
charan478

A proposal has not yet been provided

in 30 gün içinde12222₹ INR
(0 Değerlendirme)
0.0
keyankarthik

Hi,I am karthikeyan from chennai.I have 4years experience in java text mining techniques and mahout machine learning techniques.I already did for tweet data [url removed, login to view] can also contact [url removed, login to view]

in 3 gün içinde5555₹ INR
(1 Değerlendirme)
0.0