Text Summarization App using Latent Semantic Analysis Algorithm
RM99-825 MYR
Bezahlt bei Lieferung
Basic Android Mobile Text Summarization App Using Latent Semantic Analysis (LSA) Algorithm
-Input: Single .txt document
-Output: Summarized text into top three sentences.
-Using Java language on Eclipse
-Involves Text Preprocessing( Stop words removal, stem words and POS tagging) and Text Processing using LSA algorithm (may use existing tools for coding i.e JAMA library, Matlab, etc), Sentence Selection
-System architecture and other relevant details will be provided
Projekt-ID: #7037930
Über das Projekt
Vergeben an:
I will need to get a little more information on interface and some other preliminary types of information. From there, I will create the application and submit for review.
4 Freelancer bieten im Durchschnitt RM578 für diesen Job
MobiNext Technologies is a software solutions company targeting various industrial verticals like Automotive, Mobile Devices, Embedded Systems, Logistics, BFSI, Consumer Electronics, Oil and Gas and the Government. Fou Mehr