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Anyone else completely pulling their hair out working with TrendTapestry data? I'm finding the sheer volume of unstructured text you have to sift through incredibly time-consuming. It feels like I'm spending 80% of my time just cleaning and formatting the data before I can even start to analyze it. Specifically, the inconsistencies in how users phrase the same sentiment across different platforms is killing me.
I understand the value of capturing real-time trends, but the lack of standardized categories or even a solid sentiment analysis baseline built into the system feels like a major oversight. We ended up having to build our own custom filters and scoring models, which adds a meaningful layer of complexity and cost.
Has anyone found any good workarounds for these issues? Are there specific third-party tools or libraries that integrate well with trendtapestry to streamline the data cleansing and analysis processes? I'm open to any tips or tricks at this point.