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""" |
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core/lexicons.py |
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Lexical resources and ontology mappings for ESG ABSA Framework. |
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Includes aspect keywords, tone markers, sentiment indicators, |
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and canonical ontology paths. |
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""" |
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import regex as re |
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ASPECT_LEX = { |
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"Supply Chain": [r"rantai pasok", r"supply chain", r"disrupsi", r"logistik"], |
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"Integrated Supply Chain": [r"terintegrasi", r"integrated system"], |
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"Operational Efficiency": [ |
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r"efisiensi operasional", r"efisiensi", r"otomatisasi", |
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r"digitalisasi", r"productivity", r"automation" |
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], |
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"Capacity Expansion": [r"kapasitas produksi", r"kapasitas", r"expanding", r"new facility"], |
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"Value Chain": [r"rantai nilai", r"value chain"], |
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"Food Security": [r"ketahanan pangan", r"food security", r"protein"], |
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"Rural Economy": [r"ekonomi pedesaan", r"rural economy"], |
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"Self-sufficiency": [r"kemandirian", r"self-sufficien", r"local sourcing"], |
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"Local Partnership": [r"petani lokal", r"kemitraan", r"mitra", r"partnership"], |
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"Community Welfare": [r"masyarakat", r"community", r"csr", r"kesejahteraan"], |
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"Education Support": [r"pendidikan", r"education", r"literasi"], |
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"Worker Safety": [r"lingkungan kerja", r"workplace", r"safety", r"pekerja"], |
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"Energy Efficiency": [r"energi", r"efisiensi energi", r"renewable"], |
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"Environmental Preservation": [r"lingkungan", r"preservation", r"biodiversity"], |
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"Emission Reduction": [r"emisi", r"gas rumah kaca", r"carbon", r"net zero"], |
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"Governance/Transparency": [r"transparansi", r"whistleblowing", r"tata kelola", r"ethics"], |
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"Compliance": [r"aturan", r"regulasi", r"compliance", r"policy", r"standar"], |
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"Sustainability Strategy": [r"strategi keberlanjutan", r"sustainability strategy"], |
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"General": [r"keberlanjutan", r"sustainability", r"strategi", r"program"] |
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} |
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CANON_PATHS = { |
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"Supply Chain": "Economic → Operational → Supply Chain", |
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"Integrated Supply Chain": "Economic → Operational → Integrated Supply Chain", |
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"Operational Efficiency": "Economic → Operational → Efficiency", |
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"Capacity Expansion": "Economic → Operational → Capacity Expansion", |
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"Value Chain": "Economic → Operational → Value Chain", |
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"Food Security": "Economic → Food Security", |
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"Rural Economy": "Economic → Community → Rural Economy", |
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"Self-sufficiency": "Economic → Operational → Integrated Supply Chain", |
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"Local Partnership": "Social → Partnership", |
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"Community Welfare": "Social → Welfare", |
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"Education Support": "Social → Education", |
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"Worker Safety": "Social → Worker Safety", |
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"Energy Efficiency": "Environmental → Energy Efficiency", |
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"Environmental Preservation": "Environmental → Preservation", |
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"Emission Reduction": "Environmental → Emission Reduction", |
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"Governance/Transparency": "Governance → Transparency", |
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"Compliance": "Governance → Compliance", |
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"Sustainability Strategy": "Governance → Strategy", |
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"General": "General → Misc" |
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} |
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POS_WORDS = [ |
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r"meningkat", r"berkurang", r"memastikan", r"mampu", r"positif", |
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r"improve", r"strengthen", r"boost", r"enhanc", r"achiev", |
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r"empower", r"support", r"expand", r"sustain", r"berhasil" |
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] |
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NEG_WORDS = [ |
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r"tantangan", r"gejolak", r"krisis", r"disrupsi", r"turun", r"penurunan", |
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r"decline", r"problem", r"constraint", r"slow", r"shortage", r"risiko", r"obstacle" |
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] |
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COMMITMENT_MARK = [ |
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r"berkomitmen", r"commitment", r"kami yakin", |
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r"will", r"menargetkan", r"target", r"aim to", r"dedicated to" |
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] |
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ACTION_MARK = [ |
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r"melakukan", r"mengadopsi", r"menerapkan", r"implement", |
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r"adopt", r"launch", r"conduct", r"initiated" |
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] |
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OUTCOME_MARK = [ |
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r"telah", r"achieved", r"has been", r"successfully", |
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r"resulted in", r"delivered", r"obtained", r"tercapai", r"mencapai" |
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] |
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def any_match(patterns, text: str) -> bool: |
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"""Returns True if any regex pattern matches the given text.""" |
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return any(re.search(p, text.lower()) for p in patterns) |
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