BrainJS/brain.js

Proper way to detect sentiments?

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#366 geöffnet am 20. Feb. 2019

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help wantedneeds more info

Beschreibung

Hello, I'm trying to create a more complicated version of the Sentiment detector, using this example here: https://scrimba.com/p/pVZJQfg/c3n6qfg

However, I'm getting odd results. It seems to work well when there is very little data. But once I put a lot of data, it returns results like "T T T T T T T T T T T T" or some odd words created by mixing input and output.

What can I do to ensure the integrity of the outputs when I have a lot of data?

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Tech Stack
javascripttypescriptnodejs
Domain
machine learningai
Issue Type
research
SchwierigkeitGeschätzte Implementierungsschwierigkeit für neue Contributors, von 1 für sehr kleine Änderungen bis 5 für Expertenarbeit.
3
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1-3 hours
AktivitätsstatusWie verfügbar das Issue gerade wirkt: frisch, aktiv, stale, blockiert oder wartet auf Maintainer-Input.
stale
KlarheitWie klar das Issue die erwartete Änderung, Akzeptanzkriterien und den nächsten Schritt erklärt.
needs investigation
Voraussetzungen
basic JavaScriptneural network conceptsbrain.js basics
EinsteigerfreundlichkeitEin Score von 1 bis 100, der schätzt, wie zugänglich dieses Issue für First-Time Contributors ist.
40
Research-Richtung
This issue is about troubleshooting a sentiment detector using brain.js. The user reports that with large datasets, the output becomes garbled. To investigate, first review brain.js documentation on training recurrent neural networks and data preprocessing. Check if there are any known issues with large datasets in brain.js (e.g., memory constraints or normalization problems). Look at the example linked in the issue to see if there's a preprocessing step missing. Test with a smaller dataset to compare behavior, and consider whether the network architecture (e.g., layers, neurons) needs adjustment for larger data.