Web Fetcher: A SMS Marketing Solution

Inhaltsverzeichnis (Table of Contents)

• Introduction
  • Text Mining
  • Information Extraction
  • SMS Marketing
  • Project description
  • Benefits that will come from solution
  • Limitations
  • Need for Solution
  • Outline
• Basic Concepts
  • Web Extraction
  • Limitations
• Literature Review
  • Information Extraction
  • Learning Extractors from Unlabeled Text using Relevant Databases
  • Information Extraction from the Web: Techniques and Applications
  • A Survey of Web Information Extraction Systems
  • Information Extraction A Survey
• System Design
  • Proposed Model Design
  • Flow Chart
• Implementation
  • System Development tool
  • System Requirements
  • Software Requirements
  • Hardware Requirements
  • System Description
  • Hybrid Approach
• Testing
  • Test case01
  • Test case02
  • Test case03
  • Test case04
  • Results
• Conclusion & Future Work
  • Conclusion
  • Future Work
• References

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This project aims to develop a comprehensive and cost-effective solution for businesses engaged in SMS marketing by creating a web-based tool to extract phone numbers from websites. The tool will help streamline the process of collecting contact information for marketing campaigns, enhancing efficiency and reducing the potential for errors.

• Information Extraction from Web Pages
• SMS Marketing and its Applications
• Development of a Web Fetcher Tool
• Efficiency and Accuracy in Contact Information Collection
• Cost-Effective Solutions for Business Operations

Zusammenfassung der Kapitel (Chapter Summaries)

The introduction provides an overview of the project's context, highlighting the challenges of finding relevant information on websites and the growing importance of SMS marketing. It outlines the project's objectives, benefits, limitations, and the need for a solution. The chapter also presents a brief description of the project and its proposed approach.

The "Basic Concepts" chapter delves into the fundamental principles of web extraction, explaining the process of extracting data from websites and its limitations. The subsequent "Literature Review" chapter explores existing research on information extraction, highlighting key techniques and applications in the field. This chapter also examines studies on learning extractors from unlabeled text and surveys of web information extraction systems.

The "System Design" chapter presents the proposed model design for the Web Fetcher tool, detailing the architecture and workflow of the system. It includes a flowchart illustrating the key components and their interactions. The "Implementation" chapter provides a detailed description of the system development process, outlining the chosen tools, software and hardware requirements, and the system's functionality. It also explains the hybrid approach adopted for data extraction.

The "Testing" chapter documents the testing process, including the creation and execution of test cases to evaluate the system's performance and accuracy. It presents the results of the tests, demonstrating the effectiveness of the Web Fetcher tool in extracting phone numbers from websites. The conclusion summarizes the key findings and accomplishments of the project, while the "Future Work" section outlines potential areas for further development and improvement.

Schlüsselwörter (Keywords)

The main keywords and focus topics of this project include: web extraction, information extraction, SMS marketing, data mining, web scraping, contact information collection, .Net Framework, software development, system design, testing, and evaluation.