ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.09896
  4. Cited By
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents

Semantic Sensitive TF-IDF to Determine Word Relevance in Documents

6 January 2020
Amir Jalilifard
Vinicius Fernandes Caridá
Alex F. Mansano
Rogers Cristo
Felipe Penhorate C. da Fonseca
ArXivPDFHTML

Papers citing "Semantic Sensitive TF-IDF to Determine Word Relevance in Documents"

3 / 3 papers shown
Title
Word Embeddings: A Survey
Word Embeddings: A Survey
Felipe Almeida
Geraldo Xexéo
65
200
0
25 Jan 2019
Unsupervised Sentence Representations as Word Information Series:
  Revisiting TF--IDF
Unsupervised Sentence Representations as Word Information Series: Revisiting TF--IDF
Ignacio Arroyo-Fernández
Carlos-Francisco Méndez-Cruz
Gerardo E Sierra
Juan-Manuel Torres-Moreno
Grigori Sidorov
AI4TS
54
80
0
17 Oct 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
650
31,490
0
16 Jan 2013
1