Amazon review sentiment classification
Prepared from the supplied project saved 24 September 2026.

Contents: original .nd, native chart HTML and architecture PNG, saved sample-role manifest, and this README. The project contains trained parameters, but does not embed the source image/text dataset or the standalone Neural Engine runtime.

Open the .nd in a compatible Neural Designer version. Relink the dataset path to your local source, keeping its file order and preprocessing. For text examples the supplied TXT is included under data/. For image examples acquire the source data separately and reproduce the supplied selection; the image manifest lists its files and assigned roles.

Source: https://archive.ics.uci.edu/dataset/331/sentiment+labelled+sentences

To deploy, use Neural Designer to export a deployment package; keep the generated Python wrapper next to its engine/ and model/ directories. The standalone engine is not included in this archive.
