Exemplo n.º 1
0
def hebrewParshiot():
    parshiot = Parshiot.createSplitParshiot()
    print("Calculating regular hebrew TD-IDF for ", PARSHA_NAME)
    results = TFIDF.parshaIDF(PARSHA_NAME, parshiot)
    print(results)
    print("20 most common:")
    print(results.most_common(20))
Exemplo n.º 2
0
def hebrewParshiotWithFreq():
    parshiot = Parshiot.createSplitParshiot()
    parshiotFreq = Parshiot.processParshiotByFrequency()
    print("Calculating hebrew TD-IDF for ", PARSHA_NAME, " based on minimum letter frequency")
    results = TFIDF.parshaFreqIDF(PARSHA_NAME, parshiot, parshiotFreq)
    print(results)
    print("20 most common:")
    print(results.most_common(20))
Exemplo n.º 3
0
def hebrewParshiotTop():
    parshiot = Parshiot.createSplitParshiot()
    print("Calculating regular hebrew TD-IDF for ", PARSHA_NAME)
    results = TFIDF.parshaIDF(PARSHA_NAME, parshiot)
    print(results)
    print(len(results))
    percent = int(len(results)/2)
    print("top 50% of results: ", percent)
    print(results.most_common(percent))
    r = results.most_common(percent)
    l = [i[0] for i in r]
    print(l)
Exemplo n.º 4
0
def hebrewFreqParshiot():
    parshiot = Parshiot.processParshiotByFrequency()
    parshaResults = {}

    with open(subDir + 'strippedHebTFIDFparshaResults.csv',
              mode='w',
              encoding='utf-8') as csv_file:
        fieldnames = ['parsha', 'most relevant words']
        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)

        writer.writeheader()
        for parsha in parshiot.keys():
            parshaResults[parsha] = TFIDF.parshaIDF(parsha,
                                                    parshiot).most_common(20)
            writer.writerow({
                'parsha':
                parsha,
                'most relevant words': [a[0] for a in parshaResults[parsha]]
            })
Exemplo n.º 5
0
def TFIDFOutput(lang='heb'):
    parshiot = Parshiot.createSplitParshiot(lang)
    parshaResults = {}

    with open(subDir + lang + 'TFIDFParshaResults' + '.csv',
              mode='w',
              encoding='utf-8') as csv_file:
        fieldnames = ['parsha', 'most relevant words']
        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)

        writer.writeheader()
        for parsha in parshiot.keys():
            parshaResults[parsha] = TFIDF.parshaIDF(parsha,
                                                    parshiot).most_common(20)
            writer.writerow({
                'parsha':
                parsha,
                'most relevant words': [a[0] for a in parshaResults[parsha]]
            })
Exemplo n.º 6
0
def englishChapter():
    TEXT_NAME = 'JPS-Devarim.txt'
    chapterNum = 1
    print("Calculating chapter TF-IDF for ", TEXT_NAME, "in chapter ", chapterNum)
    print(TFIDF.chapterIDF(chapterNum, TEXT_NAME))