Interim Reflection (R2)

People’s varying political views urged me to see if a computer could provide an accurate analysis. My previous algorithm was unsuitable due to comparison issues, so I used IntenCheck API and Keras/TensorFlow neural network, which are robust pieces of software that output data in a comparable format, on a scale of 0 to 100 for the value of every sentiment in text. I feel that the strongly opinionated tweets were a good way to test the accuracy of both pieces of software. Since analysing sentiments is always subjective, I used consensus to minimise the errors in classifying the tweets’ data sets. Then checking their accuracy by comparing results, I took the ratio of their results to draw up extendable conclusions. My decision to switch the algorithm and overall focused research approach will benefit me in overcoming challenges in future research papers as well. Conducting this experiment has increased my knowledge of AI, such as limitations in power consumption and storage. 

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