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Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms [PDF]
PeerJ Computer Science, 2022 The Internet Movie Database (IMDb), being one of the popular online databases for movies and personalities, provides a wide range of movie reviews from millions of users.
Muhammad Zaid Naeem +5 more
doaj +5 more sources
Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis [PDF]
Multimedia Tools and Applications, 2023 Sentiment Analysis is a highly crucial subfield in Natural Language Processing that attempts to extract the public sentiment from the accessible user opinions. This paper proposes a hybridized neural network based sentiment analysis framework using a modified term frequency-inverse document frequency approach.
Asit Kumar Das, Das Asit Kumar
exaly +4 more sources
ComTech, 2016 The increasing availability of online information has triggered an intensive research in the area of automatic text summarization within the Natural Language Processing (NLP).
Hans Christian +2 more
doaj +4 more sources
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
doaj +3 more sources
ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency–Inverse Document Frequency Cosine Similarity [PDF]
JMIR Medical EducationBackgroundGenerative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical ...
Shankar S Thiru +6 more
doaj +2 more sources
Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency
Journal of Computer and Communications, 2022 Akash Addiga, Sikha Bagui
exaly +2 more sources
An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Jisuanji gongcheng, 2023 Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
doaj +1 more source
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
doaj +1 more source
Journal of Applied Engineering and Technological Science, 2021 In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia +2 more
doaj +1 more source
Finding Inverse Document Frequency Information in BERT
CoRR, 2022 For many decades, BM25 and its variants have been the dominant document retrieval approach, where their two underlying features are Term Frequency (TF) and Inverse Document Frequency (IDF). The traditional approach, however, is being rapidly replaced by Neural Ranking Models (NRMs) that can exploit semantic features.
Jaekeol Choi +3 more
openaire +2 more sources