Results 21 to 30 of about 142,696 (248)

Multilingual Search with Subword TF-IDF

CoRR, 2022
Multilingual search can be achieved with subword tokenization. The accuracy of traditional TF-IDF approaches depend on manually curated tokenization, stop words and stemming rules, whereas subword TF-IDF (STF-IDF) can offer higher accuracy without such heuristics.
openaire   +2 more sources

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.

, 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), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

Results of SVM TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for Yahya et al. (2012) dataset.

, 2020
Results of SVM TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for Yahya et al. (2012) dataset.
Nazlia Omar (801714), Manal Mohammed (3453335)   +1 more
core   +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.

, 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), Dirk Burghardt (6067856), Maximilian C. Hartmann (14664343), Eva Hauthal (6067859), Alexander Dunkel (6067847)   +4 more
core   +1 more source

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

Advances 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

TFDF and TF-IDF in Financial Analysis

, 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, MEHRAN REZAEI, MARJAN KAEDI   +2 more
openaire   +1 more source

Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.

, 2020
Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.
Nazlia Omar (801714), Manal Mohammed (3453335)   +1 more
core   +1 more source

The top ten API calls of TF-IDF difference.

, 2022
The top ten API calls of TF-IDF difference.
Zhibo Zhang (8956400), Jiyun Yang (45626), Heng Zhang (320479), JiaWen Fan (14165206)   +3 more
core   +1 more source

Results of LR TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for Yahya et al. (2012) dataset.

, 2020
Results of LR TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for Yahya et al. (2012) dataset.
Nazlia Omar (801714), Manal Mohammed (3453335)   +1 more
core   +1 more source

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

IEEE 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, Zishuai Ma, Haodong Zhu, Yu Ma, Zhifang Chang   +4 more
doaj   +1 more source