• Axatov Asadbekning Tabbiy tilni qayta tiklash fanidan “Matnni avtomatik qayta ishlash sistemasi modullarini yaratish” mavzusida tayyorlagan 1-labaratoriya ishi
    		•

    Bajardi: Axatov Asadbek




    Download 113.67 Kb.
    Sana13.03.2024
    Hajmi113.67 Kb.
    #170399
    Bog'liq
    akbar1
    signal1amaliAAA, diyor, Bekzod, jahpnd, KOMPAMALIYOT3, signallar, 8-9-19 asadmt, Data Storage. Preferences. SharedPreferences (1), 2-Mavzu Ma’lumot bazasining arxitekturasi va uch bosqichli arxi, azi, doston2, doston4, doston5FINISH, doston1, doston3




    O’ZBEKISTON RESPUBLIKASI AXBOROT TEXNOLOGIYALARI VA KOMMUNIKATSIYALARINI RIVOJLANTIRISH VAZIRLIGI MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI




    Axatov Asadbekning Tabbiy tilni qayta tiklash fanidan “Matnni avtomatik qayta ishlash sistemasi modullarini yaratish” mavzusida tayyorlagan 1-labaratoriya ishi
    Bajardi: Axatov Asadbek
    Tekshirdi: Abjalova Manzura

    1- LABORATORIYA ISHI


    Ishni bajarish tartibi
    KOD:
    from bs4 import BeautifulSoup
    import requests
    from csv import writer


    soz = input('So\'zni kiriting:')
    soz = soz.lower()


    def expand_shortcuts(sentence, shortcuts_dict):
    words = sentence.split()
    expanded_sentence = []
    changed_words = {}
    for word in words:
    lowercase_word = word.lower()
    expanded_word = shortcuts_dict.get(lowercase_word, word)
    if expanded_word != word:
    changed_words[word] = expanded_word
    expanded_sentence.append(expanded_word)

    return ' '.join(expanded_sentence), changed_words
    shortcuts_dict = {
    "asad":"ASAD",
    "baa":"BAA",
    "rc":"RC",
    "kxdr":"KXDR",
    "hp":"HP",
    "unicef":"UNICEF",
    "dxx":"DXX",
    "buxdu":"BuxDU",
    "bmt": "BMT",
    "aqsh": "AQSH",
    "iiv":"IIV",
    "xtb":"XTB",
    "xdp":"XDP",
    "dtm" : "DTM",
    "tatu":"TATU",
    "xxr":"XXR",
    "toshdiu":"ToshDIU",
    "mchj":"MCHJ",
    "yunesko":"YUNESKO",
    "it":"IT",
    "o'zmu":"O`zMU",
    "o'zas":"O`zAS",
    "ayoqsh":"AYOQSH",
    "yaim":"YaIM",
    "fish":"FISH",
    "mdh":"MDH",
    "duk":"DUK",
    "rf":"RF",
    }
    expanded_sentence , changed = expand_shortcuts(soz.lower(), shortcuts_dict)
    print("Natija : ", expanded_sentence)
    for original_word, expanded_word in changed.items():
    print(f"{original_word} -> {expanded_word}")
    html_text = requests.get('https://kun.uz/uz/news/category/uzbekiston').text
    soup = BeautifulSoup(html_text, 'lxml')
    jobs = soup.find_all('div', class_='col-md-4 mb-25 l-item')
    m = 0


    topildimi = 'No'


    for job in jobs:
    m += 1
    print(m)
    name = job.find('a', class_='news__title').text
    link = 'https://kun.uz/uz/'.replace('/uz/', job.find('a', class_='news__title')['href'])


    html_text_0 = requests.get(link).text
    soup_0 = BeautifulSoup(html_text_0, 'lxml')


    content = soup_0.find('div', class_='single-content')
    p_tags = content.find_all('p')
    p_tezis = content.find_all('h4')
    title = ''
    tezis = ''


    for tit in p_tags:
    title += tit.text.lower()
    for tez in p_tezis:
    tezis += tez.text


    if soz in title.lower() or soz in tezis.lower():
    print("\nSo'z to'g'ri yozilgan\n")
    if soz in title.lower():
    print(f"So'z qatnashgan maqola:\nBajardi: Axatov Asadbek ")
    topildimi = 'yes'
    else:
    print(f"So'z qatnashgan maqola:\n{tezis} ")
    topildimi = 'yes'
    break


    if topildimi != 'yes':
    print("Siz kiritgan so'z topilmadi. Kiritgan so'zingiz to'g'ri bo'lmasligi mumkin. Tekshirib ko'ring")
    Natija:

    So’zlar avvalo bazadan, bo’lmasa kun.uz rasmiy saytidan ma’lumot oladi!
    Download 113.67 Kb.




    Download 113.67 Kb.