Presentation-1.pptx on public opinion on social media

Public opinion on social media

1. Public opinion mining on social Media: A case Study of Twitter Opinion on Nuclear Power. Presented By: Zoya Malik Ali BS English (2 st smester) Presented To:Prof. Zafar ul Allah ORCID ID: 0009-0005-5301-4259 https://orcid.org/

2. Social Media , including micro-blogs such as twitter, have become main channels to communicate and share public social opinion amoung people. The opinion on nuclear power is an important social issus because nuclear plant contruction needs national consensus. 2 Introduction:

3. Proposed Approach and Enperimental Crawling social media data. Cleansing and preprocessing text. Construction of a sentiment dictionary. Tweets sentiment prediction.

4. Sentiment Accuracy Rate No of Tweets Accuracy Rate No of Tweets Positive 51.58 % 948 50.55 % 991 Negaitive 61.19 % 2067 64.08 % 2289 Neutral 38.96 % 2066 21.67 % 1375 4 Exhibits the sentimental prediction results. To evaluate the accuracy, before appling proposed approach, human evaluators are classified tweets between 2012 and 2013 into three categories, positive, Negative, and Neutral. The result shows that the proposed approach provides more than 50% prediction accuracy on positive and negative tweets. Experimental Results

5. Conclusion: We propose public opinion mining approach to monitor nuclear power opinion on Twitter. The procedure consists of four phases: 1.Crawing related tweets 2.Extracting potential sential sentimental terms 3.Building sentiment dictionary 4.tweets sentiment scoring and prediction. The experiments using tweets between 2009 and 2013 showed that the proposed approach provided acceptable performance on sentimental prediction.Also , NOI (Nuclear Opinion Index) is proposed to visualize the sentimental changes on nuclear power opinion. 5

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