BrainJS/brain.js

Proper way to detect sentiments?

Open

#366 opened on Feb 20, 2019

View on GitHub
 (1 comment) (0 reactions) (0 assignees)TypeScript (1,099 forks)batch import
help wantedneeds more info

Repository metrics

Stars
 (14,095 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

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?

Contributor guide

Research direction
Investigate potential overfitting when training with large datasets. Ensure proper data preprocessing, normalization, and consider using more layers or regularization.
Tech stack
javascripttypescript
Domain
aimachine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
JavaScriptMachine Learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60