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Neeraj666 t1_jc5edo3 wrote

I am looking to build a ML model which can analyse answers for behavioural interview questions and provide a rating? e.g. Talk about a challenging situation at work and how did you overcome that.. wondering where should I start and which algorithms to focus on etc.

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trnka t1_jc8csxm wrote

If you have significant data, I'd suggest starting with BERT (and including some basic baselines).

If you only have a small amount of data, you might be able to use GPT models with a fair amount of prompt engineering.

Also, you'll probably face different challenges if the candidate types the response vs an interviewer is summarizing a response. If it's an interviewer's notes, you might find simple proxies like certain interviewers will type more for good candidates.

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