{"adoption": {"forks": 518, "observed_at": "2026-08-28T04:06:15.784791+00:00", "stars": 2114}, "canonical_url": "https://ross.abutalabs.com/products/absa-pytorch", "card": {"archived": true, "artifact_type": "library", "description": "Aspect Based Sentiment Analysis, PyTorch Implementations.  基于方面的情感分析，使用PyTorch实现。", "domain": ["machine-learning", "deep-learning"], "enriched": true, "function": ["nlp", "machine-learning", "deep-learning"], "health_score": 10, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["songyouwei/ABSA-PyTorch"], "name": "songyouwei/ABSA-PyTorch", "platform": ["python"], "pushed_at": "2023-06-12T21:30:16+00:00", "repo": "songyouwei/ABSA-PyTorch", "stars": 2114, "tags": ["aspect-based-sentiment-analysis", "sentiment-analysis", "pytorch", "bert", "attention", "research-code", "natural-language-processing"], "topics": ["sentiment-analysis", "aspect-based-sentiment-analysis", "bert", "attention", "natural-language-processing", "nlp", "sentiment-classification"], "urls": [], "use_cases": ["classify sentiment toward specific aspect terms in reviews", "train BERT-based aspect sentiment classifiers", "reproduce ABSA research models like BERT-SPC and BERT-ADA", "run sentiment analysis on restaurant and laptop review datasets", "experiment with attention mechanisms for aspect-level sentiment"], "what_it_is": "PyTorch implementations of aspect-based sentiment analysis (ABSA) models, including attention-based and BERT-based approaches for aspect-term sentiment classification. It provides training and inference scripts over standard ABSA datasets like SemEval restaurant and laptop reviews.", "when_to_avoid": ["you need a production-ready ABSA pipeline with flexible training and aspect term extraction (use PyABSA instead)", "you need general sentence-level sentiment analysis rather than aspect-based", "you need maintained support for recent Python or transformers versions"], "when_to_choose": ["you need reference PyTorch implementations of classic ABSA models", "you want BERT-based aspect-target sentiment classification with training scripts", "you are doing NLP research or coursework on aspect-based sentiment analysis"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/absa-pytorch", "repo": "songyouwei/ABSA-PyTorch", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.784791+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:53:29.379186+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "26c717a53dc593f3254c3b8992e67ecdb36c469f792280c0afe573fa4f2b88f6", "fetched_at": "2026-08-28T04:06:15.784791+00:00", "kind": "readme", "missing": false, "url": "https://github.com/songyouwei/ABSA-PyTorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "archived"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3038, "days_push": 1178, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}