I've been using ExportTok to pull TikTok comments for a client's viral video, and the CSV export is solid. But I'm wondering if anyone here has piped that data into a sentiment analysis tool to identify which comments are actually worth responding to? Right now I'm doing it manually and it's killing my workflow. Would love to hear what others are doing.
Following — same question here. Will report back once we've run it for a couple of weeks.
I haven't used ExportTok specifically, but I'd recommend piping that CSV into Google Cloud Natural Language API or AWS Comprehend—both integrate easily with exported data and give sentiment scores in seconds. Since you're already getting clean CSV exports, you could batch process comments through either tool's API to automatically flag positive/negative sentiment, then focus manual responses only on high-engagement or neutral comments that need judgment calls. Have you considered what sentiment threshold would actually trigger a response for your client's brand voice?