machine learning java
$10-30 USD
Paid on delivery
This project proposes an extractive text summarization system for Arabic language. It will follow the machine learning approach(svm) to produce summary .
Input: User enter multi document , size of summary either percentage of summary or number of sentences ,and query which is keyword.
output :is summary.
The project will be in Java and the environment eclipse.
In preprocessing step, we implement:
-steaming
-tokenization
-root extraction
By using CoreNlp
-stop word removal
By using Abo alkhair stop word.
Preprocessing step is done
Then implement the features which are:
-tf-idf (done)
-cos : still not implement.
The library is SVM (regression): libsvm library
Evaluation by :rouge. still not implement.
Note: Explanation during a required online meeting
Project ID: #24479086
About the project
5 freelancers are bidding on average $203 for this job
Hello! I'd like to deliver text summarization model with a report write up. I'm familiar with theory of probability and computer science. I'll do the job blazingly fast. Please, give me a try!
Dear! I am a developer with more than 4 years of experience in development field in a well reputed company. We can make this project towards a long relationship. I have read your requirements; I will be able to get yo More
If you want to implement your idea, then I am always ready for you Being a professional developer means to understand all the requirements of the project, and find the best way to implement it with the highest quality. More