Results 21 to 30 of about 136,207 (260)

Sentiment Analysis of Chinese Comments Based on Hybrid Vector Model [PDF]

open access: yesJisuanji gongcheng, 2020
In order to solve the problem of insufficient expression of sentiment information in the TF-IDF model,this paper proposes the Senti model to extract the sentiment information in the text,including positive/negative sentiment words,negative words ...
CHEN Xi, ZHU Xiaodong, GAO Guangkuo, XIAO Fangxiong
doaj   +1 more source

Multi-Class Text Classification on Khmer News Using Ensemble Method in Machine Learning Algorithms

open access: yesActa Informatica Pragensia, 2023
The research herein applies text classification with which to categorize Khmer news articles. News articles were collected from three online websites through web scraping and grouped into nine categories.
Raksmey Phann   +2 more
doaj   +1 more source

Implementasi Vector Space Model dalam Pembangkitan Frequently Asked Questions Otomatis dan Solusi yang Relevan untuk Keluhan Pelanggan

open access: yesScientific Journal of Informatics, 2015
Salah satu keunggulan dari sebuah lembaga/unit pelayanan adalah seberapa cepat dan akurat dalam menangani keluhan pelanggan. Keluhan yang disampaikan pelanggan umumnya memiliki kesamaan dengan keluhan-keluhan sebelumnya, sehingga solusi dari keluhan baru
Abdul Aziz   +2 more
doaj   +1 more source

Identifying Optimal Baseline Variant of Unsupervised Term Weighting in Question Classification Based on Bloom Taxonomy

open access: yesMendel, 2022
Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by educators in accordance with Bloom’s taxonomy cognitive domain. To ease the burden of the educators,
Anbuselvan Sangodiah   +5 more
doaj  

Research on Text Similarity Measurement Hybrid Algorithm with Term Semantic Information and TF-IDF Method

open access: yesAdvances in Multimedia, 2022
TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
doaj   +1 more source

Performance analysis of ML models, (a) accuracy using TF-IDF, BoW and GloVe without SMOTE, (b) accuracy using TF-IDF, BoW and GloVe using SMOTE, and (c) accuracy using TF-IDF, BoW and GloVe using ADASYN.

open access: yes, 2022
Performance analysis of ML models, (a) accuracy using TF-IDF, BoW and GloVe without SMOTE, (b) accuracy using TF-IDF, BoW and GloVe using SMOTE, and (c) accuracy using TF-IDF, BoW and GloVe using ADASYN.
Furqan Rustam (10196722)   +6 more
core   +1 more source

An Ensemble Classification Algorithm of Micro-Blog Sentiment Based on Feature Selection and Differential Evolution

open access: yesIEEE Access, 2022
In the face of massive texts, dimensionality reduction algorithm and efficient classification model have become the key steps for sentiment classification of microblogs.
Hongchan Li   +4 more
doaj   +1 more source

TFDF and TF-IDF in Financial Analysis

open access: yes, 2023
Abstract Textual analysis in the realm of business depends on text processing techniques borrowed mainly from information retrieval. However, it is not a viable solution capable of developing in finance. We suggest developing financial homegrown techniques for processing textual data.
MEISAM HASHEMI   +2 more
openaire   +1 more source

TF-IDF for top scoring sunset terms in Zambia and Spain and global country similarity ranking based on cosine similarity to Zambia.

open access: yes, 2023
TF-IDF for top scoring sunset terms in Zambia and Spain and global country similarity ranking based on cosine similarity to Zambia.
Ross S. Purves (3147369)   +4 more
core   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

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