bryan-extra-indi-pyspark.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "24/12/22 21:38:16 WARN Utils: Your hostname, R2D3. resolves to a loopback address: 127.0.1.1; using 172.28.168.56 instead (on interface eth0)\n",
      "24/12/22 21:38:16 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address\n",
      "Setting default log level to \"WARN\".\n",
      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
      "24/12/22 21:38:18 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n",
      "24/12/22 21:38:19 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.\n",
      "24/12/22 21:38:19 WARN Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.\n",
      "24/12/22 21:38:19 WARN Utils: Service 'SparkUI' could not bind on port 4042. Attempting port 4043.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of unique entries: 10101\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Author: Lai ZhonPoa\n",
    "4. Lexicon Analysis and Evaluation\n",
    "4.1 Results of Analysis\n",
    " * I.  2.   Word Frequency Analysis; Identify the most common and least common words. \n",
    " * II. 1. Lexicon Coverage: Number of Nodes: 10102\n",
    " * V.     Synonym and Semantic Network Analysis\n",
    "4.2 Results of Intrinsic Evaluation\n",
    "\"\"\"\n",
    "# Bryans individual is not limited to BryanIndividual.ipynb\n",
    "from neo4j import GraphDatabase\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "from UtilsNeo4J import DataBaseHandler\n",
    "from UtilsRedis import Redis_Utilities\n",
    "import redis\n",
    "\n",
    "from pyspark.sql import Row\n",
    "from pyspark.sql.functions import col\n",
    "\n",
    "from GlobalSparkSession import GlobalSparkSession\n",
    "from pyspark.sql.functions import explode, col\n",
    "\n",
    "spark = GlobalSparkSession.get_instance()\n",
    "\n",
    "# Setup Neo4j driver and Redis client 22/12/2024\n",
    "neo4j_uri = \"neo4j+s://75fb82ba.databases.neo4j.io\"\n",
    "neo4j_user = \"neo4j\"\n",
    "neo4j_password = \"E2znDHtP7x2Hs0B5_BM1tnglu6fTkM5YPTX18DkubIk\" # Replace with your actual password\n",
    "redis_utils = Redis_Utilities()\n",
    "\n",
    "db_handler = DataBaseHandler(neo4j_uri, neo4j_user, neo4j_password, redis_utils)\n",
    "\n",
    "# Get the total number of unique entries in the lexicon\n",
    "total_unique_entries = db_handler.get_total_unique_entries()\n",
    "print(f\"Total number of unique entries: {total_unique_entries}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Graph Visualization Functions\n",
    "def fetch_synonyms(tx, limit=25):\n",
    "    query = f\"\"\"\n",
    "    MATCH (w:Word)-[:SYNONYM]-(s:Word)\n",
    "    RETURN w.word AS word, collect(DISTINCT s.word) AS synonyms\n",
    "    LIMIT {limit}\n",
    "    \"\"\"\n",
    "    result = tx.run(query)\n",
    "    return result.values()\n",
    "\n",
    "def fetch_antonyms(tx, limit=25):\n",
    "    query = f\"\"\"\n",
    "    MATCH (w:Word)-[:ANTONYM]-(a:Word)\n",
    "    RETURN w.word AS word, collect(DISTINCT a.word) AS antonyms\n",
    "    LIMIT {limit}\n",
    "    \"\"\"\n",
    "    result = tx.run(query)\n",
    "    return result.values()\n",
    "\n",
    "def create_network_pyspark(spark, db_handler, limit=20, relationship_type='synonym'):\n",
    "    if relationship_type == 'synonym':\n",
    "        fetch_function = fetch_synonyms\n",
    "    else:\n",
    "        fetch_function = fetch_antonyms\n",
    "\n",
    "    with db_handler.neo4j_driver.session() as session:\n",
    "        relationships = session.execute_read(fetch_function, limit)\n",
    "    \n",
    "    # Convert to DataFrame\n",
    "    relationships_df = spark.createDataFrame(relationships, [\"word\", relationship_type + \"s\"])\n",
    "    \n",
    "    # Explode the relationships list into individual rows\n",
    "    exploded_df = relationships_df.withColumn(relationship_type, explode(col(relationship_type + \"s\"))).select(\"word\", relationship_type)\n",
    "    \n",
    "    # Use toLocalIterator to avoid memory issues\n",
    "    edges = [(row.word, row[relationship_type]) for row in exploded_df.toLocalIterator()]\n",
    "    \n",
    "    # Create a graph\n",
    "    G = nx.Graph()\n",
    "    G.add_edges_from(edges)\n",
    "    \n",
    "    return G\n",
    "\n",
    "def visualize_network(G, title=\"Network\"):\n",
    "    pos = nx.spring_layout(G, k=0.5)\n",
    "    plt.figure(figsize=(12, 8))\n",
    "    nx.draw(G, pos, with_labels=True, node_color='lightblue', edge_color='gray', node_size=5000, font_size=14)\n",
    "    plt.title(title)\n",
    "    plt.show()\n",
    "\n",
    "def identify_clusters(G):\n",
    "    clusters = nx.community.greedy_modularity_communities(G)\n",
    "    themes = {i: list(cluster) for i, cluster in enumerate(clusters)}\n",
    "    return themes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 0:>                                                          (0 + 1) / 1]\r"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Theme 0: skrg, kininya, skg, present, sekarang, tadi\n",
      "Theme 1: dulu, dahulunya, sebelum, dahulu\n",
      "Theme 2: saat ini, now\n",
      "Theme 3: sedang, kini\n"
     ]
    }
   ],
   "source": [
    "# V. Synonym and Semantic Network Analysis\n",
    "# Create and visualize antonym network\n",
    "G_synonym = create_network_pyspark(spark, db_handler, limit=10, relationship_type='synonym')\n",
    "visualize_network(G_synonym, title=\"Synonym Network\")\n",
    "\n",
    "themes_synonym = identify_clusters(G_synonym)\n",
    "for theme_id, words in themes_synonym.items():\n",
    "    print(f\"Theme {theme_id}: {', '.join(words)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Theme 0: dahulunya, dlu, dulu, nantidia, sekarang\n",
      "Theme 1: skrg, earlier, now, kemudian, sebelum itu\n",
      "Theme 2: dahulu, sedang, kininya, kini\n",
      "Theme 3: diri sendiri, others\n",
      "Theme 4: berbeza bentuk, sebentuk\n",
      "Theme 5: moyang, keturunan\n"
     ]
    }
   ],
   "source": [
    "# V. Antonym and Semantic Network Analysis\n",
    "# Create and visualize antonym network\n",
    "G_antonym = create_network_pyspark(spark, db_handler, limit=10, relationship_type='antonym')\n",
    "visualize_network(G_antonym, title=\"Antonym Network\")\n",
    "\n",
    "themes_antonym = identify_clusters(G_antonym)\n",
    "for theme_id, words in themes_antonym.items():\n",
    "    print(f\"Theme {theme_id}: {', '.join(words)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Synonyms for 'sedih': dukacita\n",
      "Antonyms for 'sedih': gembira\n",
      "Sentiment for 'sedih': {'sentiment': '-0.8'}\n",
      "Count for 'sedih': 1\n",
      "Synonyms for 'kerana': oleh sebab\n",
      "Antonyms for 'kerana': walaupun\n",
      "Sentiment for 'kerana': {'sentiment': '0.0'}\n",
      "Count for 'kerana': 53\n",
      "Synonyms for 'sekarang': saat ini\n",
      "Antonyms for 'sekarang': dulu\n",
      "Sentiment for 'sekarang': {'sentiment': '0.0'}\n",
      "Count for 'sekarang': 14\n",
      "Synonyms for 'hasil': pendapatan\n",
      "Antonyms for 'hasil': kehilangan\n",
      "Sentiment for 'hasil': {'sentiment': '0.7'}\n",
      "Count for 'hasil': 6\n"
     ]
    }
   ],
   "source": [
    "\n",
    "def get_word_data(word_to_search):\n",
    "    redis_utils = Redis_Utilities()\n",
    "    \n",
    "    sentiment_value = redis_utils.get_sentiment(word_to_search)\n",
    "    word_count = redis_utils.get_word_frequency(word_to_search)\n",
    "    \n",
    "    synonyms = db_handler.get_synonyms(word_to_search)\n",
    "    antonyms = db_handler.get_antonyms(word_to_search)\n",
    "    \n",
    "    \n",
    "    print(f\"Synonyms for '{word_to_search}': {', '.join(synonyms)}\")\n",
    "    print(f\"Antonyms for '{word_to_search}': {', '.join(antonyms)}\")\n",
    "    print(f\"Sentiment for '{word_to_search}':\", sentiment_value)\n",
    "    print(f\"Count for '{word_to_search}':\", word_count)\n",
    "\n",
    "get_word_data(\"sedih\")\n",
    "get_word_data(\"kerana\")\n",
    "get_word_data(\"sekarang\")\n",
    "get_word_data(\"hasil\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preview of all word frequencies (first 10 rows):\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+---------+\n",
      "|  Cleaned_Word|Frequency|\n",
      "+--------------+---------+\n",
      "|            te|        2|\n",
      "|        differ|        2|\n",
      "|  tembelangnya|        1|\n",
      "|  berikutpanjb|        1|\n",
      "|   menyebarkan|        1|\n",
      "|           hak|        3|\n",
      "|         press|        2|\n",
      "|thamazightcode|        1|\n",
      "|    kadangkala|        3|\n",
      "|       berilah|        1|\n",
      "+--------------+---------+\n",
      "only showing top 10 rows\n",
      "\n",
      "Most common words:\n",
      "+------------+---------+\n",
      "|Cleaned_Word|Frequency|\n",
      "+------------+---------+\n",
      "|         dan|     1363|\n",
      "|      bahasa|     1103|\n",
      "|        yang|      701|\n",
      "|          di|      632|\n",
      "|       dalam|      481|\n",
      "|      dengan|      358|\n",
      "|    masukkan|      320|\n",
      "|       cawan|      228|\n",
      "|         ini|      219|\n",
      "|          gm|      212|\n",
      "+------------+---------+\n",
      "\n",
      "Least common words:\n",
      "+-------------+---------+\n",
      "| Cleaned_Word|Frequency|\n",
      "+-------------+---------+\n",
      "|      ridhwan|        1|\n",
      "|     tandoori|        1|\n",
      "|       bacaan|        1|\n",
      "|      gandung|        1|\n",
      "|    secretary|        1|\n",
      "|  duniarumpun|        1|\n",
      "| terpulanglah|        1|\n",
      "|       dimaki|        1|\n",
      "|          lee|        1|\n",
      "|lainortografi|        1|\n",
      "+-------------+---------+\n",
      "\n",
      "\n",
      "Words used once:\n",
      "tembelangnya, berikutpanjb, menyebarkan, thamazightcode, berilah, dirasmikan, what, mohon, book, meluassedikit, penganut, secukupnyasedikit, menyokong, pelabagai, gaelik, angaran, berkeluarga, bukharisebab, caridotmynasi, following, tertunggak, sardar, keruntuhan, tepnjt, awak, begitupun, degrees, dipotongkacang, chamorro, percumaitu, berharap, turmoil, alat, kelapan, suaminorfarhiza, terkutuk, cinasecara, lagipun, kerabat, terpilih, swift, caridotmyisteri, merentang, mengedarkan, gunhu, kak, persisiran, membutir, sedappp, kesukaran, giliran, pembekal, kungfu, dipisah, monarch, lagicaranya, ratacara, mcdonalds, pakat, caridotmysiti, ilham, cypriot, dilancarkan, orencoklat, sembahyang, ketenteraan, peranggula, selasa, berderaidia, amalkan, gardensspecial, centre, makdnski, kambing, airsos, terdesak, laluibunya, tan, mentalsegalagalanya, berbalaskepala, dilahirkannya, minyakjulie, lter, pastetugas, sedikitso, lies, aircecair, informasi, shoe, berkenaanada, toasted, 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memartabatkan, dibalas, puteri, selatanory, eropahmeskipun, tuinilah, anti, dibunuhberderau, schleicher, inflected, aircawan, diriselepas, persembahanpersembahan, pengganti, mydin, bertanyakan, dimaklumkan, jumaatpada, pipi, sunkist, koktelbahan, irish, terselamatmayat, menanggung, kacananti, buahancara, teringat, amanah, menebus, tadiaddinmengikuti, pancara, putik, alkitabiah, bergaduh, salad, diarahkan, fatal, palembangcode, disertakan, icelandbahasabahasa, march, aliran, kanaan, chipsjagung, characteristic, speaking, politiklebuhraya, pudding, pesawat, plastik, berselindung, fahammemahami, pekeliling, ounces, signifikan, acuanloyangbuah, elegance, bentukbentuk, caridotmysalah, pixels, semalamsuspek, malls, renoma, kejucream, pnbila, bekukan, dilaluinya, buku, leonard, tapiskandalam, faktor, airport, anggur, seringnya, skali, kedudukannya, diayakkandaun, goring, pemersatu, airnyacoklat, assaults, sensitiviti, sejukcara, scooping, mei, liza, aiskerim, permatang, islands, ramairamai, perbualan, mama, berlakubimbang, yaakob, dicadangkan, sejukkankerim, hujungnya, tersebutpolis, kehidupan, ketepi, lapisana, simon, lgbt, agocairo, kelmarinlebih, likely, singapurafonologi, tinair, kertashiasan, mencukupi, byaddinat, membezakan, pandancara, seabad, bronok, csaksikanlah, sharafuddin, tertera, cam, caracara, julia, pening, betolll, cederakan, sauna, ramashancurkan, ble, perhatian, kerjaobjek, fokus, tapanuli, koktelcara, salahkan, fillingkeju, tgkt, dakwaan, gunshots, hilanglapan, menghidap, makmur, sory, airminyakgaramareganodaun, dikacau, kecergasan, wadegiles, czechoslovakia, perolehan, pasatj, rempak, budak, secondkalau, dinantikan, bercambah, madona, ari, solatdifahamkan, bagai, balls, pengumuman, kecilsedikit, prasarana, minyakdan, alice, semalamkemudian, dialami, mengesahkan, sekeluargasudah, dikenalinya, whether, menjajah, kecikmungkin, slin, sichuan, leksikon, harapannya, langue, agargar, berhargaketua, secukupnyaminyak, menggelongsor, tenggiri, memetakan, zionisme, unbecoming, jd, khalkha, siasatanorang, pertikaian, optional, jaid, kuoy, khasi, catchy, overworked, haron, potstir, lakukankepada, penukaran, hiprotin, ricebahan, menekankan, yajappajappa, barulah, bulanannya, dipenuhi, siput, support, kefasihan, consonants, followers, provokatif, ulikan, kapursecubit, hitambahan, seaib, menghirup, kepupusankajian, perkataannya, erkaku, overcome, stimuli, castellanocode, caridotmymohon, subbahasa, dimeriahkan, four, colombia, atar, tanggal, ikatan, perempuanjika, tuamotu, masaktopping, bottom, jumaatsebuah, bisingsebelum, paraguay, wujudbahasa, nestumcara, eurasia, terdekatnya, indet, dll, alihkan, gedangsa, cemas, freelance, irregular, cornflakes, kaitan, semalamkuching, login, kolonial, semelai, cebu, mengemas, xlame, hashim, jehai, lagikebanyakan, jentera, menjadikannya, ideologi, mencubanya, fried, bahagiadisihir, keduanya, letupan, arop, pastelarutan, wayar, jamak, superkeluarga, sinilebih, spot, tour, structure, armsuntikan, garamnya, melakaturut, inipasangan, terancam, jemputjemput, misinya, keretasuspek, sila, citerbuah, merahjelly, ringancara, sepakat, seseorangdalam, ruthenia, hentian, crosslinguistically, rancangansaya, lalutinjauan, dipersetujui, perunding, tubuh, atasbahan, indah, kegagalan, mamak, watermark, permainan, syariah, katanyalebih, terbakar, berkuasapegawai, apipastikan, difikirkan, berjiranan, honor, dilindungi, berkerjatapi, portion, susah, jual, merawat, april, noodle, salleh, lalukejadian, pengurangan, selepasnya, airpewarnamerah, pengarangnya, krokodil, sekolahsehubungan, sukacara, rempahbiarkan, menghisap, diplomatic, pengunaan, sedih, sunti, kedahada, jana, biologi, masukapabila, ditandai, kerani, patterns, dijilatkan, kaupergibattu, tidurnya, menggigit, berperanan, cocoabuttercara, bagus, ivrit, kamikita, diselang, subjekkata, brapa, armada, yugra, sengit, kanji, jeruk, ithnin, semalambeliau, menggabungkan, wangkesemua, mendidh, halmahera, individuals, persembahan, injil, ekspresi, pilihancara, merokok, sesungguhnya, jemanik, jezikcode, kerna, iniwalaupun, bulanan, simbol, penggantinyanyian, memisahkannya, meloloskan, regarding, hakdesh, rawatanalyah, keampuhan, tanamtekan, butir, berpunca, aquariumsarowanas, anggarannya, day, selia, didekatkan, suasana, original, mencuba, perapkankan, doc, yeart, sosialcari, surabaya, salasilah, semalamkejadian, mesinudang, t, keci, aktiviti, found, likes, upon, sedikitnya, kuningcara, nuristani, pangkuan, peminatsiapa, pawang, agoas, takutnya, kawasankawasan, simpulkancara, aris, celahan, pm, siasat, auster, baikmcm, curamsoalannya, caridotmypotong, sebatang, capsikum, merahbahan, teutamanya, membentangkan, mahaguru, belaka, bertaburan, garnachecara, memperolehi, bertengahkan, arjunaidi, berkunciabdul, gaj, tele, yesusisa, aras, komponen, williams, lagiinsya, droid, menyalahgunakan, tercetus, dibersihkan, singaporefloral, lamancaricommyagar, chahar, hidupnya, august, kecantikkan, publishedpm, lodge, pentadbirannyakesimpulannya, melangsungkan, zainul, berkenan, akhiri, kelaurkan, sebak, dean, makmumnya, caridotmyteks, mengembangkan, nipissedikit, kerajaanbahasa, cincangdaun, macau, wori, dieja, naturalhehesy, meluat, ihoo, selebriti, panashangatcipuru, mengukus, menyasarkan, changed, masaalahnya, pentingdi, pinangdi, pertanyaan, court, caridotmyjohor, cairbahan, bahancara, gitutapi, anatara, mali, sayam, traumabapa, takat, biliknya, jusnyacara, katanyacaroline, payah, kudusbahasa, bolivia, mencadangkan, curah, blupblup, ngo, caridotmygeorge, boys, dannepl, jagunghiasanstrawberry, pelakon, saussure, perez, bagansiapiapi, sets, caridotmylox, nihongo, tukang, bhutan, penjajahan, slah, masukke, hatred, dahsyat, rangkaian, road, jeles, qayum, diprivatekan, michigan, airgaramminyak, hasrat, memakan, mcmnedie, asma, sebagaimei, iceland, nasihat, membawakan, abdullah, hiasancream, keduaduannya, limak, airmasukkan, twitternya, katanyaberikutan, favourite, parchment, khalil, menghilangkn, manuel, bahgian, sikitdah, 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memperagakan, dahlan, elemen, substrate, reformasi, youtubeus, buruh, expressed, tunisia, botol, italiano, ataucode, macroaltaikperhubungan, binisaya, benuabenua, tambah, pelajartak, bapok, disebahagian, brezhoneg, khabar, guli, momod, saraf, slovensk, kelaurga, yami, temiar, panascara, muhd, akkad, pemersatuan, pembancuh, larry, sokong, label, ipad, akhbar, mughal, dipandang, dipandunya, mengalualukan, bii, zhngwn, semalamnamun, superlative, embassy, berdosa, buttermix, libyaclinton, pemikiran, minumum, tersebutdi, socalled, serbupuiii, rodham, mesir, caridotmybangunan, disekat, membelasah, templatotherusesbahasabahasa, jagungmasukkan, frozen, yusof, studen, istiadat, kunobahasa, duniarumpun, lainortografi, senaman, singapurabahasa, dihantarnya, tongabahasa, tandoori, dimaki, berasdaun, koyakkancara, namanama, berpengaruh, gandung, division, ciribahasa, alim, sana, konsumsi, kekasihyang, ecuador, legar, bogelnya, bersedia, semantik, differently, diasingkan, lontaran, jamaluddin, lumpuruntuk, judi, bahasapara, face, shift, rujuksininajib, emigran, jelas, sabar, kecilnipis, pending, cuneiform, skim, autonomi, ritus, arrowanasthis, mangsasumber, tartarhiasanblueberry, tight, sayap, renehkan, variants, lewat, kasarbahan, telefonlebih, hayya, melodinya, ratuselepas, bbc, dinner, boxi, ansi, vojvodina, kejadiansaya, naan, revealed, emasdifahamkan, darjahharap, toskantaugeh, athens, merogolnyasuspek, dalamnya, menubar, penemuan, prosodinya, gandumdon, mineral, shifted, tumpulyang, penggunakrokodil, perbahasannyasebab, yan, ekspansi, mendengarnya, struggling, bank, suambahan, rakyatrizal, punishable, present, garamcaralapisan, hambek, sajaselain, mengelompokkan, search, sebaliknyaapabila, diamati, katanyapengalaman, fit, gorengakna, dara, menimang, sedalam, berakhirnya, putrajayaketika, duniakebanyakan, linguistikuntuk, operandi, lalukekayaan, runcit, gulongkan, spry, leh, teramai, statusnya, keberadaan, kudabembe, rica, bake, jadual, memakihamun, mendorong, 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temberang, springform, bikarbonatcara, islams, perkecualian, bubuh, dada, bin, melestarikan, dilayan, menyayat, mufrad, change, frosting, makcikaku, jahat, lori, mandul, sukaminyak, white, pape, wajahnya, major, hijaurebus, tuvalu, robert, macintouch, setar, mendadak, lalusementara, lalurakan, concern, tertekan, psikiatri, mahkota, seterusnyass, might, menyambut, memfailkan, ikutan, kemahuannya, huayu, mencirikan, menyimpul, menilainya, malang, basque, strongly, karikatur, bola, alimajlis, robson, panjangtabe, kasi, mocca, beautifultragic, receives, lainlainnyabahasa, dipinjam, gilasebenarnya, saksikan, dompetnya, disinihiolls, minyakbaby, pengucapan, timurtengah, kuantum, mengamalkannya, kenal, oil, gulagarambahan, sejauh, punsaya, dessert, kuar, terkecil, gril, seberang, keringg, penyanyipenyanyi, kepertengahan, others, barack, biliondalam, sent, nominatif, pontianak, subang, sajaha, hamundia, rs, thaisiam, pemberian, memahami, epal, kuahnya, beca, jadikan, dibalut, pendapatannyabiarpun, ketera, gitu, creanm, kolej, gerakan, latido, down, americans, dilantik, berkenaanpemilihan, erlterima, sedemikiankajian, hangusnanti, barangkali, guatemala, almond, polski, bawahdifahamkan, yearthe, landing, spesifikasi, disifatkan, menjadikan, uprisings, pentadbirannya, halusgula, punskrg, ryukyuan, zainal, pengkalan, orangbahasa, nafi, dikejutkan, tusila, kebarangkalian, yangdipercayai, elak, ouster, dibakarbahan, minyakgarambahan, pertimbangan, mengugut, tanta, yangberusia, englishcode, kana, viva, past, niue, ratapewarna, threatening, cast, sapuancara, dikenalpasti, memukulnyakatanya, dibulat, serakan, pedih, telursedikit, marah, sabariah, caridotmybahanisi, biozhn, islamic, ditumpaskansambil, tara, lanca, pesertapeserta, milksome, flaked, screenshot, tambang, telurcara, mendiami, dimansuhkan, loxlima, kos, skin, italiseperti, membelibelah, feature, meninggal, mcmne, lox, berjoli, quezon, zainol, pop, tebarkan, analyticc, menjuarai, sebut, kucaitaugehcili, jer, dihttpukinmalaysiafcogovukenatauwwwfacebookcombhcklpasangan, disinijumla, ukrayinska, tarikan, bersamasama, nti, gebukembang, tiramisu, mikrosiasatan, caridotmysemua, laingambargambar, akumakanmakantengok, lamancaricommydancari, baling, cukagaramgula, lajantan, announced, popup, sekeluarga, angered, pompuan, ogham, dielakam, ayatayat, pic, mswiki, tibetoburma, minittopping, jezik, operasi, public, secukupnyagaramcara, semalamannotabolah, coney, moammar, dalama, ditahanketika, konjugasi, mencatat, smpai, gandumbahan, kot, terendambahan, diarah, dislikes, amsak, hathaway, facto, pentuturpentutur, berubat, reptilia, remy, ungkapan, broca, peralihan, tartlets, kabinet, add, approved, azrbaycan, including, diketemui, associated, panasakan, roasted, coktail, teko, seminar, crumbminyak, berkatapenyelarasan, skyscrapers, ccoklat, berhari, terlantar, timun, nipisminyakkicapbahan, wujudberikut, different, dikisar, bleh, bulanfasha, masinnya, list, merahdaun, featured, kelakuan, 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     ]
    }
   ],
   "source": [
    " # I.  2.   Word Frequency Analysis; Identify the most common and least common words. \n",
    "def analyze_word_frequencies(spark, num_rows=10):\n",
    "    \"\"\"\n",
    "    Analyze and display word frequencies.\n",
    "\n",
    "    Args:\n",
    "        num_rows (int): Number of rows to show in the preview and frequency lists.\n",
    "    \"\"\"\n",
    "    # Initialize Redis client and retrieve all frequencies\n",
    "    redis_client = Redis_Utilities()\n",
    "    frequencies = redis_utils.get_all_word_frequencies()\n",
    "\n",
    "    # Convert the dictionary to a PySpark DataFrame\n",
    "    word_frequencies_list = [{\"Cleaned_Word\": word, \"Frequency\": int(freq)} for word, freq in frequencies.items()]\n",
    "    word_frequencies_df = spark.createDataFrame(Row(**x) for x in word_frequencies_list)\n",
    "\n",
    "    # Show the preview of word frequencies\n",
    "    print(f\"Preview of all word frequencies (first {num_rows} rows):\")\n",
    "    word_frequencies_df.show(num_rows)\n",
    "\n",
    "    # Most common words\n",
    "    most_common_words_df = word_frequencies_df.orderBy(col(\"Frequency\").desc()).limit(num_rows)\n",
    "    print(\"Most common words:\")\n",
    "    most_common_words_df.show()\n",
    "\n",
    "    # Least common words\n",
    "    least_common_words_df = word_frequencies_df.orderBy(col(\"Frequency\").asc()).limit(num_rows)\n",
    "    print(\"Least common words:\")\n",
    "    least_common_words_df.show()\n",
    "\n",
    "    # Words used exactly once\n",
    "    once_used_df = word_frequencies_df.filter(col(\"Frequency\") == 1)\n",
    "    once_used = [row[\"Cleaned_Word\"] for row in once_used_df.collect()]\n",
    "    print(\"\\nWords used once:\")\n",
    "    print(\", \".join(once_used))\n",
    "\n",
    "# Call the function with the desired number of rows to display\n",
    "analyze_word_frequencies(spark, num_rows=10)"
   ]
  }
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