
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/30324
Title: | IMPORTEXT |
Authors: | MAHNOOR ZISHA |
Keywords: | Information Technology |
Issue Date: | 2021 |
Publisher: | Quaid I Azam University Islamabad |
Abstract: | Importext is a web and mobile-based system that is predominantly intended for people with a wide range of audiences over the internet. These people can be Distant Learning Teachers, Motivational or Political Speakers, Online Operating Stores, Applications conducting online surveys and many more. It has been observed that all these people face numerous issues regarding communication with the audience. The proposed system will be a centralized platform/portal where all of the above-mentioned users can conduct their live sessions for teaching or meetups etc. The audience for the session will be selected by the user. i.e., public, or restricted based on filters as set by the user. The proposed system will aid in communication as it will provide a facility to take questions or feedback during live sessions. The questions and feedback will then be classified using text mining algorithms and the questions/comments that will be most important i.e. frequently asked by the users will be generated and shown to the users. The system will provide the facility if the user wants to conduct the sessions outside our platform i.e. YouTube etc. If he/she wants us to manage his/her questions or feedback then he/she can simply provide us a link to that session and the system will be able to read the comments and perform an operation on the comments and generate data accordingly. Importext will be a convenient, platform for the people who do use different online systems for online sessions such and those who usually interact with a large amount of audience. Due to a large audience, there is a communication gap between the speaker and the audience as it is literally impossible for the speaker to communicate with so many people in a given span of time during a meetup or live session. The major purpose or goal of this project is to minimize this communication gap using data/text mining algorithms. There are systems that provide live streaming options for teaching and other users but none of them has a proper mechanism for interacting with the audience during sessions. Most of these systems do not provide the basic facility of questions or feedback during the session. Even if they provide it is ineffective as due to such a large amount of audience it gets impossible for the speaker/teacher to attend all these questions one by one. This system will cope with this issue providing a proper mechanism for effective and efficient communication. The queries will be clustered based on importance and abundance. Most frequently asked questions will be prioritized top on the list. |
URI: | http://hdl.handle.net/123456789/30324 |
Appears in Collections: | M.Sc |
Files in This Item:
File | Description | Size | Format | |
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IT 504.pdf | IT 504 | 22.39 MB | Adobe PDF | View/Open |
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