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"output_type": "stream",
"name": "stdout",
"text": [
"Teks sumber:\n",
"\n",
"PT Maju Jaya resmi meluncurkan produk terbaru mereka pada 12 Agustus 2023\n",
"di Jakarta. Acara peluncuran tersebut dihadiri oleh CEO perusahaan dan\n",
"disaksikan oleh ratusan undangan.\n",
"\n",
"\n",
"HASIL INFORMATION EXTRACTION:\n",
"EventType: Product Launch\n",
"Organization: PT Maju Jaya\n",
"LaunchDateOriginal: 12 Agustus 2023\n",
"LaunchDateISO: 2023-08-12\n",
"Location: Jakarta\n",
"SourceText: PT Maju Jaya resmi meluncurkan produk terbaru mereka pada 12 Agustus 2023 di Jakarta. Acara peluncuran tersebut dihadiri oleh CEO perusahaan dan disaksikan oleh ratusan undangan.\n"
]
}
],
"source": [
"# =========================\n",
"# NLP – Information Extraction (MODIFIED VERSION)\n",
"# =========================\n",
"\n",
"import re\n",
"import nltk\n",
"from datetime import datetime\n",
"\n",
"# =========================\n",
"# 1. DATA TEKS (DIMODIFIKASI)\n",
"# =========================\n",
"text = \"\"\"\n",
"PT Maju Jaya resmi meluncurkan produk terbaru mereka pada 12 Agustus 2023\n",
"di Jakarta. Acara peluncuran tersebut dihadiri oleh CEO perusahaan dan\n",
"disaksikan oleh ratusan undangan.\n",
"\"\"\"\n",
"\n",
"print(\"Teks sumber:\")\n",
"print(text)\n",
"\n",
"# =========================\n",
"# 2. PREPROCESSING TAMBAHAN\n",
"# =========================\n",
"def clean_text(text):\n",
" text = text.strip()\n",
" text = re.sub(r\"\\s+\", \" \", text)\n",
" return text\n",
"\n",
"text = clean_text(text)\n",
"\n",
"# =========================\n",
"# 3. EKSTRAKSI TANGGAL (LEBIH DARI 1 FORMAT)\n",
"# =========================\n",
"date_patterns = [\n",
" r\"\\d{1,2}\\s(?:Januari|Februari|Maret|April|Mei|Juni|Juli|Agustus|September|Oktober|November|Desember)\\s\\d{4}\",\n",
" r\"\\d{4}-\\d{2}-\\d{2}\"\n",
"]\n",
"\n",
"dates = []\n",
"for pattern in date_patterns:\n",
" dates.extend(re.findall(pattern, text))\n",
"\n",
"# =========================\n",
"# 4. NORMALISASI TANGGAL\n",
"# =========================\n",
"bulan_map = {\n",
" \"Januari\": \"01\", \"Februari\": \"02\", \"Maret\": \"03\",\n",
" \"April\": \"04\", \"Mei\": \"05\", \"Juni\": \"06\",\n",
" \"Juli\": \"07\", \"Agustus\": \"08\", \"September\": \"09\",\n",
" \"Oktober\": \"10\", \"November\": \"11\", \"Desember\": \"12\"\n",
"}\n",
"\n",
"def normalize_date(date_str):\n",
" try:\n",
" parts = date_str.split()\n",
" return f\"{parts[2]}-{bulan_map[parts[1]]}-{parts[0].zfill(2)}\"\n",
" except:\n",
" return None\n",
"\n",
"normalized_dates = [normalize_date(d) for d in dates]\n",
"\n",
"# =========================\n",
"# 5. EKSTRAKSI LOKASI (RULE-BASED)\n",
"# =========================\n",
"location_pattern = r\"di\\s([A-Z][a-zA-Z]+)\"\n",
"location_match = re.search(location_pattern, text)\n",
"location = location_match.group(1) if location_match else None\n",
"\n",
"# =========================\n",
"# 6. EKSTRAKSI ORGANISASI (MODIFIKASI)\n",
"# =========================\n",
"org_pattern = r\"PT\\s[A-Z][a-zA-Z]+\\s[A-Z][a-zA-Z]+\"\n",
"organization = re.findall(org_pattern, text)\n",
"\n",
"# =========================\n",
"# 7. EVENT TEMPLATE (LEBIH LENGKAP)\n",
"# =========================\n",
"event_template = {\n",
" \"EventType\": \"Product Launch\",\n",
" \"Organization\": organization[0] if organization else None,\n",
" \"LaunchDateOriginal\": dates[0] if dates else None,\n",
" \"LaunchDateISO\": normalized_dates[0] if normalized_dates else None,\n",
" \"Location\": location,\n",
" \"SourceText\": text\n",
"}\n",
"\n",
"# =========================\n",
"# 8. OUTPUT\n",
"# =========================\n",
"print(\"\\nHASIL INFORMATION EXTRACTION:\")\n",
"for key, value in event_template.items():\n",
" print(f\"{key}: {value}\")"
]
},
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