Nt1310 Unit 3 Assignment 1 Reaction Paper
Fig 3: User Login
Fig 3 shows the user login. It enables the registered user to access the network and allows new user to register the social network.
Fig 4: User Home Page Fig 4 shows the users home page of trustee social network. The short message posted by a user can be shared by other users. Trustee social network provides One Time Password (OTP) recovery by collecting the security details from user. The following Fig 5 shows the OTP security details. The user password is retrieved from bank server of the social network.
Fig 5: OTP Security Details
In this network, the trustees are assigned by individual user as monitors to report on post. The report gathered is to examine whether the sentiment of the post is positive or negative. …show more content…
RESULT
The Sentiment Analysis along with Natural Language Processings obstruct the rumor diffusion in social network. The trustee level created for individual user is monitored. The shared post collate with the dataset keywords to the genuine rate. Depending on the genuine rate the post is permitted to share. In this work, the relevance clustering engaged to rank the relevant keyword. The ranked post with non-genuine factor is removed. This process increase the credibility of the network to diffuse trustworthy information.
V. CONCLUSION
Rumor diffusion is a major problem in social network. Though rumor detection is made with existing datasets. The real time collation results are more efficient than others. There are several algorithms being proposed for detecting rumors, they were not efficient result due to the lack of significance in the field.
But, in this research work, we have built a sentiment analysis and trained it using natural language processing that has resulted in a very high trustee rate. This sentiment rate which is obtained is slightly to be higher than other algorithms that were previously proposed.
[11] Eunsoo Seoa, Prasant Mohapatrab and Tarek
Fig 3 shows the user login. It enables the registered user to access the network and allows new user to register the social network.
Fig 4: User Home Page Fig 4 shows the users home page of trustee social network. The short message posted by a user can be shared by other users. Trustee social network provides One Time Password (OTP) recovery by collecting the security details from user. The following Fig 5 shows the OTP security details. The user password is retrieved from bank server of the social network.
Fig 5: OTP Security Details
In this network, the trustees are assigned by individual user as monitors to report on post. The report gathered is to examine whether the sentiment of the post is positive or negative. …show more content…
RESULT
The Sentiment Analysis along with Natural Language Processings obstruct the rumor diffusion in social network. The trustee level created for individual user is monitored. The shared post collate with the dataset keywords to the genuine rate. Depending on the genuine rate the post is permitted to share. In this work, the relevance clustering engaged to rank the relevant keyword. The ranked post with non-genuine factor is removed. This process increase the credibility of the network to diffuse trustworthy information.
V. CONCLUSION
Rumor diffusion is a major problem in social network. Though rumor detection is made with existing datasets. The real time collation results are more efficient than others. There are several algorithms being proposed for detecting rumors, they were not efficient result due to the lack of significance in the field.
But, in this research work, we have built a sentiment analysis and trained it using natural language processing that has resulted in a very high trustee rate. This sentiment rate which is obtained is slightly to be higher than other algorithms that were previously proposed.
[11] Eunsoo Seoa, Prasant Mohapatrab and Tarek