{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T12:27:21Z","timestamp":1765974441118,"version":"3.40.5"},"reference-count":34,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,11,22]],"date-time":"2021-11-22T00:00:00Z","timestamp":1637539200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,11,22]]},"abstract":"<jats:p>The usage of local languages is being common in social media and news channels. The people share the worthy insights about various topics related to their lives in different languages. A bulk of text in various local languages exists on the Internet that contains invaluable information. The analysis of such type of stuff (local language\u2019s text) will certainly help improve a number of Natural Language Processing (NLP) tasks. The information extracted from local languages can be used to develop various applications to add new milestone in the field of NLP. In this paper, we presented an applied research task, \u201cmulticlass sentence classification for Urdu language text at sentence level existing on the social networks, i.e., Twitter, Facebook, and news channels by using N-grams features.\u201d Our dataset consists of more than 1,00000 instances of twelve (12) different types of topics. A famous machine learning classifier Random Forest is used to classify the sentences. It showed 80.15%, 76.88%, and 64.41% accuracy for unigram, bigram, and trigram features, respectively.<\/jats:p>","DOI":"10.1155\/2021\/1296076","type":"journal-article","created":{"date-parts":[[2021,11,22]],"date-time":"2021-11-22T21:35:15Z","timestamp":1637616915000},"page":"1-11","source":"Crossref","is-referenced-by-count":6,"title":["Sentence Classification Using N-Grams in Urdu Language Text"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1211-8797","authenticated-orcid":true,"given":"Malik Daler","family":"Ali Awan","sequence":"first","affiliation":[{"name":"Department of Information Technology, Faculty of Computing, The Islamia University of Bahawalpur, 63100 Bahawalpur, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2753-8615","authenticated-orcid":true,"given":"Sikandar","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Information Technology, The University of Haripur, 22621 Haripur, Khyber Pakhtunkhwa, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9284-358X","authenticated-orcid":true,"given":"Ali","family":"Samad","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Faculty of Computing, The Islamia University of Bahawalpur, 63100 Bahawalpur, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8722-7790","authenticated-orcid":true,"given":"Nadeem","family":"Iqbal","sequence":"additional","affiliation":[{"name":"Muhammad Nawaz Shareef University of Agriculture, Multan 61000, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9903-0274","authenticated-orcid":true,"given":"Malik Muhammad","family":"Saad Missen","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Faculty of Computing, The Islamia University of Bahawalpur, 63100 Bahawalpur, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7033-1804","authenticated-orcid":true,"given":"Niamat","family":"Ullah","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Buner, 19290 Sawarai Buner, Khyber Pakhtunkhwa, Pakistan"}]}],"member":"311","reference":[{"author":"J. 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