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Tracking multiple keywords puts all related tweets into a single sqlite3 table. When the realtime sentiment is calculated, it calculates for all records in this table. We want to be able to segment sentiment values based on topics where each topic may be composed of multiple keywords.
The text was updated successfully, but these errors were encountered:
Once we can replicate that logic, we can use it to tag each tweet in our database with the related tracking terms as the records are inserted. Then when we query to calculate real-time sentiment, we can query by the tagged data.
Tracking multiple keywords puts all related tweets into a single sqlite3 table. When the realtime sentiment is calculated, it calculates for all records in this table. We want to be able to segment sentiment values based on topics where each topic may be composed of multiple keywords.
The text was updated successfully, but these errors were encountered: