Roman Urdu Semantic Analyzer: "A web based application for semantic analysis of social media comments written in roman urdu
From the past few years Semantic Analyzers are doing only semantic analysis of English paragraphs to check whether these paragraphs are semantically and syntactically correct or some doing comparison whether these paragraphs are similar using semantic analysis techniques. A very limited and no
2025-06-28 16:34:51 - Adil Khan
Roman Urdu Semantic Analyzer: "A web based application for semantic analysis of social media comments written in roman urdu
Project Area of Specialization Artificial IntelligenceProject SummaryFrom the past few years Semantic Analyzers are doing only semantic analysis of English paragraphs to check whether these paragraphs are semantically and syntactically correct or some doing comparison whether these paragraphs are similar using semantic analysis techniques. A very limited and non-comprehensive work have been found on semantic analysis of Roman Urdu Comments. The proposed project is a client/server based mobile web application for analysis of Roman Urdu Comments. The system will analyze the various (i.e. Facebook, Instagram and twitter) comments posted on web 2.0.The basic modules of our project will be Comments Extraction , Filtration of Roman Urdu Comments , Semantic Analysis and Report Generation. This project will facilitate the researchers, companies and practitioner by providing a single platform for their products comment based analysis.
Project ObjectivesThe basic objectives of the proposed project will be
- Extraction of Comments using web 2.0 extraction techniques
- Recognition of comments on the basis of natural language processing techniques.
- Semantic Analysis by using AI and Sentimental Analysis based techniques.
- Report Generation using statistical based approach .
An Iterative based modeling approach will be used for the development of the software.For literature review an emperical analysis of the previous researches have been made.The project is divided into two basic modules, Client side and Server side.Extraction,Recognition,Semantic Analysis and Report Generation Modules are the part of Server side whereas the Client side will provide an interface to the Server side.For the development of the project we are using Python, Django framework and css techniques.
Benefits of the Project- This project will provide an edge for the future researches to be made in this domain.
- Through this software the moods of the customers will be analyzed easily for the future decision-making.
- Variation in the customers opinions can be traced easily.
- Through this software the companies can easily measure the marketing campaigns and Brand perceptions
- This project will facilitate the companies in improving their marketing value as well as their financial positions.
At the end of the project we submit the report and code of the project to the university authorities.
Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Responsible Consumption and ProductionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 50000 | |||
| Smart Mobile Phone | Equipment | 1 | 40000 | 40000 |
| Documentation | Miscellaneous | 1 | 10000 | 10000 |