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Anyone else struggling with inconsistent data when running trendtapestry analyses? I've noticed some pretty wild swings in the narratives being generated, seemingly from the same core datasets. One day a topic is flagged as declining, the next it's apparently surging, and the source data doesn't always seem to justify the shift.
I've tried a few things to mitigate it. First, double-checking the data cleaning pipeline is essential. Removing duplicates and ensuring proper data type assignment can have a surprisingly large impact. I've also experimented with different weighting schemes for various data sources, giving more credence to sources known for their reliability.
Curious if others have encountered similar issues and what solutions you've found? Are there specific pre-processing techniques or TrendTapestry settings you'd recommend tweaking to improve the consistency of the analysis results? It's impacting my ability to rely on the insights for decision-making.