Results 11 to 20 of about 6,268 (249)
Journal of Applied Informatics and Computing, 2023 Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing
Gede Herdian Setiawan +1 more
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Document classification using term frequency-inverse document frequency and K-means clustering
Indonesian Journal of Electrical Engineering and Computer Science, 2022 Increased advancement in a variety of study subjects and information technologies, has increased the number of published research articles. However, researchers are facing difficulties and devote a significant time amount in locating scientific research publications relevant to their domain of expertise.
Wasseem N. Ibrahem Al-Obaydy +3 more
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SentiTFIDF – Sentiment Classification using Relative Term Frequency Inverse Document Frequency [PDF]
International Journal of Advanced Computer Science and Applications, 2014 Sentiment Classification refers to the computational techniques for classifying whether the sentiments of text are positive or negative. Statistical Techniques based on Term Presence and Term Frequency, using Support Vector Machine are popularly used for Sentiment Classification.
Kranti Ghag, Ketan Shah
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An enhanced latent semantic indexing with term frequency-inverse document frequency variant for software traceability [PDF]
IOP Conference Series: Materials Science and Engineering, 2019 Abstract This paper proposes an improved Latent Semantic Indexing (LSI) with Term Frequency-Inverse Document Frequency (TFIDF) variant for software traceability. The main advantage of the method is the simplicity and accuracy of the algorithm such that it can produce high precision and recall.
R Tumeng, D N A Jawawi, M A Isa
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Journal of Electrical Systems and Information TechnologyThe Hausa language, spoken by a large population, is considered a low-resource language in the field of Natural Language Processing (NLP), presenting unique challenges.
Abubakar Salisu Bashir +2 more
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Emotional Text Classification Using TF-IDF (Term Frequency-Inverse Document Frequency) And LSTM (Long Short-Term Memory) [PDF]
JUITA : Jurnal Informatika, 2022 Humans in carrying out communication activities can express their feelings either verbally or non-verbally. Verbal communication can be in the form of oral or written communication. A person's feelings or emotions can usually be seen by their behavior, tone of voice, and expression. Not everyone can see emotion only through writing, whether in the form
Alfaridzi, Muhammad Ibnu +2 more
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Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers [PDF]
PeerJ Computer Science, 2022 Sentiment analysis has been researched extensively during the last few years, however, the sentiment analysis of citations in a research article is an unexplored research area. Sentiment analysis of citations can provide new applications in bibliometrics
Musarat Karim +6 more
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AUTOMATIC SUMMARIZING DOKUMEN REPOSITORY DENGAN TERM FREQUENCY - INVERSE DOCUMENT FREQUENCY METHOD
JUTEKIN (Jurnal Teknik Informatika), 2023 Menurut Kamus Besar Indonesia (KBBI), dokumen adalah surat yang tertulis atau tercetak yang dapat dipakai sebagai bukti keterangan. Dan repository dapat diartikan dalam kamus bahasa Indonesia yaitu tempat penimbunan, tempat penyimpanan.
Maulana, Harry Andriyan
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Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft
CoreID Journal, 2023 This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method.
Fadli Emsa Zamani
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Rekayasa, 2020 Hadis adalah sumber rujukan agama Islam kedua setelah Al-Qur’an. Teks Hadis saat ini diteliti dalam bidang teknologi untuk dapat ditangkap nilai-nilai yang terkandung di dalamnya secara pegetahuan teknologi. Dengan adanya penelitian terhadap Kitab Hadis,
Ana Tsalitsatun Ni'mah +1 more
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