{"adoption": {"forks": 372, "observed_at": "2026-08-28T04:03:29.602263+00:00", "stars": 1077}, "canonical_url": "https://ross.abutalabs.com/products/textclassifier", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Text classifier for Hierarchical Attention Networks for Document Classification ", "domain": ["machine-learning", "deep-learning"], "enriched": true, "function": ["machine-learning", "nlp"], "health_score": 20, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["richliao/textClassifier"], "name": "richliao/textClassifier", "platform": ["python"], "pushed_at": "2021-09-16T14:35:50+00:00", "repo": "richliao/textClassifier", "stars": 1077, "tags": ["text-classification", "hierarchical-attention-networks", "attention-mechanism", "keras", "lstm", "cnn", "sentiment-analysis", "educational-code", "natural-language-processing"], "topics": ["text-classification", "hierarchical-attention-networks", "attention-mechanism", "recurrent-neural-networks", "convolutional-neural-networks"], "urls": [], "use_cases": ["classify documents with hierarchical attention networks", "implement attention-based text classification in keras", "learn how hierarchical attention networks work", "train a sentiment classifier on IMDB reviews", "extract attention weights to find important words for classification", "compare CNN vs RNN text classifiers"], "what_it_is": "A Python repository implementing text classification models including Hierarchical Attention Networks, CNNs for sentence classification, and attentional RNNs using Keras. It serves primarily as reference/educational code accompanying blog posts explaining the architectures.", "when_to_avoid": ["need a production-ready or maintained text classification library", "require modern TensorFlow/PyTorch or Python 3 support", "need state-of-the-art transformer-based classifiers"], "when_to_choose": ["learning or teaching attention-based text classification architectures", "need a reference implementation of HAN in Keras", "following the author's blog tutorials on text classification"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/textclassifier", "repo": "richliao/textClassifier", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:29.602263+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:53:17.216174+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ecb545f7610e5bf25786f78b0388cd0c4f949915f9f29f0bcafbcccd0e85575a", "fetched_at": "2026-08-28T04:03:29.602263+00:00", "kind": "readme", "missing": false, "url": "https://github.com/richliao/textClassifier"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3534, "days_push": 1812, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}