Dataset

twitter-consumer-sentiment

Brand- and ticker-level consumer mood indicators extracted from publicly available social media posts.

Dataset card

LikeFolio's Twitter Consumer Sentiment dataset tracks consumer-brand chatter on Twitter to surface sentiment signals around public companies and their products.

What this dataset contains

The dataset aggregates Twitter posts referencing tracked consumer brands and tickers, applying LikeFolio's sentiment scoring to flag bullish versus bearish mentions. Coverage spans social conversations tied to specific brands and publicly traded companies. The publisher has not published a sample or download volume for external verification.

Structure and fields

No column-level schema is publicly documented for this dataset, so the exact field names and row format are unknown. LikeFolio's other products typically expose ticker, brand, sentiment score, mention volume, and date, but those fields cannot be confirmed here. Analysts requesting the file would need to review the data dictionary supplied under the commercial license.

How analysts use it

If the underlying fields match LikeFolio's typical layout of ticker, brand, mention volume, and sentiment score, equity analysts could monitor shifts in brand-level buzz as a leading indicator of consumer-demand surprises ahead of earnings. The dataset's commercial license and opaque column definitions, however, limit reproducibility and make vendor due diligence important before integrating the signal into a fund process.

Documentation & references 2