Website Evaluation using opinion mining:
With the development of every country and growth of access to internet for almost everyone the global virtual community is increasing by the hour. Small and large businesses have knowledge of this and try to exploit the potential customers online. These potential customers are willing to spend their money and invest in those website as it provides some features for them as well, but due to them getting scammed the turnover is getting fewer.
To face this problem, website evaluation need to be done. It should aim to categorize the website based on some set guidelines which be used to rate the website and give it its deserving rank. Website evaluation can be done via many techniques and ways, mostly conventional. But the conventional ways are getting outdated and not that much effective anymore.
From thousands of people giving their own opinions about a single business front on the internet will lead to hundreds of thousands of reviews, scattered and or unarranged. Which makes it mighty difficult for someone looking for answer to find that answer from the heaps of reviews.
Here is where opinion mining techniques come in. A set of techniques which require an Artificial Intelligence system to computationally identify and extract the required subjective emotional sentimental analysis of the review and give the website a categorized rank based on that review. Those categorize ranks will sum up and give an average overall rating to the website.
This Artificial intelligence system is an opportunity for a final year project and will open many doors of opportunity and learning new things. An artificial neural intelligence system has to be created which can process human’s natural language and extract sentiments from it. The system could also rank the website based on the plagiarized content available on the website.
The final year project for system review can also be made to find how genuine a website is. A database of keywords can also be maintained to help the artificial intelligence system recognize some patterns of user’s text to quickly extract opinion from the review. The system would definitely be identified by its fast text processing speeds and quick and efficient artificial intelligence.
The final year project could also propose an editor’s pick menu, where whenever the user enter your system to avail its facility he would be prompted by what the editor has set as best or worst websites of the day. If the user has also had prior experience with them he could also comment about that. The final year project developer’s main goal is to create an automated artificial intelligence system to sort out reviews and the developers should have no interference in the result, which would indicate that the system is not biased at all. The developer should only increase the scope if the system by providing more and more website to review and increasing the amount of effective keywords in the database maintained for the system.
With the development of every country and growth of access to internet for almost everyone the global virtual community is increasing by the hour. Small and large businesses have knowledge of this and try to exploit the potential customers online. These potential customers are willing to spend their money and invest in those website as it provides some features for them as well, but due to them getting scammed the turnover is getting fewer.
To face this problem, website evaluation need to be done. It should aim to categorize the website based on some set guidelines which be used to rate the website and give it its deserving rank. Website evaluation can be done via many techniques and ways, mostly conventional. But the conventional ways are getting outdated and not that much effective anymore.
From thousands of people giving their own opinions about a single business front on the internet will lead to hundreds of thousands of reviews, scattered and or unarranged. Which makes it mighty difficult for someone looking for answer to find that answer from the heaps of reviews.
Here is where opinion mining techniques come in. A set of techniques which require an Artificial Intelligence system to computationally identify and extract the required subjective emotional sentimental analysis of the review and give the website a categorized rank based on that review. Those categorize ranks will sum up and give an average overall rating to the website.
This Artificial intelligence system is an opportunity for a final year project and will open many doors of opportunity and learning new things. An artificial neural intelligence system has to be created which can process human’s natural language and extract sentiments from it. The system could also rank the website based on the plagiarized content available on the website.
The final year project for system review can also be made to find how genuine a website is. A database of keywords can also be maintained to help the artificial intelligence system recognize some patterns of user’s text to quickly extract opinion from the review. The system would definitely be identified by its fast text processing speeds and quick and efficient artificial intelligence.
The final year project could also propose an editor’s pick menu, where whenever the user enter your system to avail its facility he would be prompted by what the editor has set as best or worst websites of the day. If the user has also had prior experience with them he could also comment about that. The final year project developer’s main goal is to create an automated artificial intelligence system to sort out reviews and the developers should have no interference in the result, which would indicate that the system is not biased at all. The developer should only increase the scope if the system by providing more and more website to review and increasing the amount of effective keywords in the database maintained for the system.