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This research is about chatgpt. I scraped tweets of 3 months from twitter and make a dataset to perform sentiment analysis. In the dataset i have more then 5 laks raw data. Here, i used Python to implement a Machine Learning algorithm to get the accuracy about my work. This is my University thesis research.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
SVM.py		SVM.py
Sentiment_analysist.py		Sentiment_analysist.py
bar_chart.png		bar_chart.png
data_preprocessing.py		data_preprocessing.py
line_chart.png		line_chart.png
pie_chart.png		pie_chart.png
scatter_plot.png		scatter_plot.png
sentiment_analysis_results_summary.csv		sentiment_analysis_results_summary.csv
summery.py		summery.py

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chatgpt_sentiment

This Research is on Sentiment Analysis of ChatGPT. How people are adapting chatgpt, how people are thinking about chatgpt, I make a reserach on this.

I collect all the tweets from January-23 to March-23 with chatgpt hashtag and clean the data with python (data_processing.py).

Then i applied sentiment anaylis on the dataset and give label good, bad and neutral for all the tweets.(sentiment_analysis.py)

Then i do a summery analysis and chart analysis with python. (sentiment_analysis_result_summer.py)

Then i applied Machine learning algorim to the dataset and predict the label and save the accuracy. (SVM.py)

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This research is about chatgpt. I scraped tweets of 3 months from twitter and make a dataset to perform sentiment analysis. In the dataset i have more then 5 laks raw data. Here, i used Python to implement a Machine Learning algorithm to get the accuracy about my work. This is my University thesis research.

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