Grade 11 Student Develops AI Model To Predict Election Results Using Sentiment Polarity Scores

Prajwal Reddy, a class 11th student at Greenwood High International School, has developed an Artificial Intelligence (AI) model that can predict election results using sentiment polarity scores.

By Jitendra Jangid May 9, 2023, 08:33 IST

A class 11th student Prajwal Reddy developed an Artificial Intelligence model to predict election results. The AI model developed by Prajwal uses sentiment polarity score. Studying at Greenwood High International School, Prajwal Reddy used his AI model to analyse tweets from various Karnataka politicians. The model focuses on engagement ratings of the tweets tweeted by politicians. The model assign a score on the basis of the tweet’s content, language, number of likes, replies, and retweets. As stated by Prajwal Reddy, his AI model can be adopted for any state or national elections results. Prajwal Reddy in his research paper mentions that his analysis is one step ahead of previous research conducted in the way. Prajwal states that his model goes ahead as it also looks at other factors, including the number of retweets, likes, and comments a tweet has garner. These factors measures the engagement of the tweet tweeted by a politician. While speaking with News18 Exclusively, Prajwal Reddy stated datasets are important to analyse the sentiment polarity. In his research paper, Prajwal Reddy claims that his AI model has a 72.7% accuracy rate. He mentions that the results by AI model can be expanded to help predict elections for other states, and could potentially help understand the effect of positive and negative sentiments on the winnability of a political candidate. The more the score the more chance of winnability. When asked on how bots can affect the result of his AI empowered model, he said bots will decrease the quality of the engagement rating overall. Sharing methodology of his AI model, Prajwal Reddy mentions that, sentiment analysis and polarity is conducted on each tweet for each candidate. The text is translated into English if it is in local language to successfully conduct a sentiment analysis. Prajwal Reddy claims that translation of the tweet body does not reduce the information conveyed as only the sentiment, and not the pure meaning of the text, needs to be conveyed. While concluding, Prajwal mentioned that his AI model proves promising for future applications. Thus tweet engagement can be seen to correlate to a higher chance of winning. He states that his analysis can be applied to tweets from the upcoming 2024 general elections to help predict which politician will win from each constituency. To make the model successful, a better data collection is the need and a challenge for his model

Prajwal Reddy, a class 11th student at Greenwood High International School, has developed an Artificial Intelligence (AI) model that can predict election results using sentiment polarity scores. The model focuses on the engagement ratings of tweets from various Karnataka politicians, assigning a score based on the tweet's content, language, likes, replies, and retweets. Prajwal claims that his model can be used for any state or national elections and that it is a step ahead of previous research since it also considers other factors such as retweets, likes, and comments that measure the engagement of a politician's tweet.

According to Prajwal, datasets are crucial for analysing sentiment polarity, and his AI model has an accuracy rate of 72.7%. He believes that the results can be extended to predict elections in other states and to understand the impact of positive and negative sentiments on a candidate's chances of winning. However, he acknowledges that bots can affect the model's accuracy by decreasing the quality of engagement ratings.

Prajwal's methodology involves conducting sentiment analysis and polarity on each tweet for each candidate. If the tweet is in a local language, it is translated into English to conduct sentiment analysis successfully. Prajwal believes that translating the tweet body does not reduce the conveyed information, as only the sentiment and not the text's pure meaning needs to be conveyed.

In conclusion, Prajwal believes that his AI model has promising future applications and can be used to predict which politician will win each constituency in the upcoming 2024 general elections. However, he notes that data collection is a challenge that needs to be addressed for the model to be successful.

Grade 11 Student Develops AI Model To Predict Election Results Using Sentiment Polarity Scores

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