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Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis
Sentiment Analysis is a highly crucial subfield in Natural Language Processing that attempts to extract the public sentiment from the accessible user...
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Term Frequency Tokenization for Fake News Detection
In today's world, when the internet is pervasive, everyone gets news from a variety of online sources. As the use of social media platforms has...
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Inverse document frequency-based sensitivity scoring for privacy analysis
Privacy risk analysis of online social network (OSN) users aims at generating a risk score for each OSN user such that higher scores potentially...
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Term Frequency and Estimating the Closeness of Short Texts to the Semantic Standard
AbstractThis work deals with the interrelated problems of assessing the closeness of a text to the most rational (reference) form of conveying its...
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An improved term weighting method based on relevance frequency for text classification
As a vital step of text classification (TC) task, the assignment of term weight has a great influence on the performance of TC. Currently, masses of...
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An intelligent model based on integrated inverse document frequency and multinomial Naive Bayes for current affairs news categorisation
Digital technologies, their product and services have empowered the masses to generate information at a faster pace. Digital technologies based...
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Inverse Contexture Abstractive Term Frequency Model Using Surf Scale Diffusive Neural Network for Analysis of Fake Social Content in Public Forum
Increasingly heterogeneous information on social discussion forums, fake news arises to create rumors to change the reliability of information...
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Application of Customized Term Frequency-Inverse Document Frequency for Vietnamese Document Classification in Place of Lemmatization
Natural language processing (NLP) is a problem which attracts lots of attention from researchers. This study analyzes and compares a different method...
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ExMo: Explainable AI Model Using Inverse Frequency Decision Rules
In this paper, we present a novel method to compute decision rules to build a more accurate interpretable machine learning model, denoted as ExMo....
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A non-redundant feature selection method for text categorization based on term co-occurrence frequency and mutual information
Feature selection is a crucial preprocessing step for text categorization that can help to reduce the feature space, speed up the learning process,...
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Particle Swarm Optimization for Web Document Retrieval Based on Term-Document Matrix
Retrieving relevant information from the enormous volume of data is the top most priority of information retrieval systems. As technology arises,...
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Kannada Document Classification Using Unicode Term Encoding Over Vector Space
Today, there is a great demand for extracting useful information and ability to take actionable insights from heaps of raw textual data. The...
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A Technique to Find Out Low Frequency Rare Words in Medical Cancer Text Document Classification
A vast amount of digital medical documents are increasing day by day, and there is need of automatic text document classification. Medical research...
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Document-Based Sentiment Analysis on Financial Texts
Public opinion plays an important role in economic activities like investors’ decisions, and stock price changes. This study uses Sentiment Analysis...
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Document Vector Representation with Enhanced Features Based on Doc2VecC
The main purpose of document vectorization is to represent words into a series of vectors that can express the semantics of documents. Whether in...
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Oil price shocks and the term structure of the US yield curve: a time–frequency analysis of spillovers and risk transmission
This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield curve in the US between 1995 and 2020. The US...
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Piezoelectric elements subjected to low frequency excitation. Empirical determination of stress and frequency influence on piezoelectric parameters
Designing optimum energy harvesting devices is the aim of several developments based on numerical or analytical studies of different piezoelectric...
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HierMDS: a hierarchical multi-document summarization model with global–local document dependencies
Multi-document summarization (MDS) has attracted increasing attention in recent years. Most existing MDS systems simply encode the flat connected...
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Frequency Response Function Estimation
For current approaches to experimental modal analysis, the frequency response function is the most important measurement to be made. This chapter...
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Clean versus dirty electricity generation and economic growth in South Africa: time–frequency study
The purpose of the study is to contrast the impact of ‘clean’ and ‘dirty’ electricity production on economic growth for South Africa and determine...
