Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database

5 October 2016

Papers citing "Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database"

6 / 6 papers shown

Title
Dreams Are More "Predictable'' Than You Think Lorenzo Bertolini 18 0 0 08 May 2023
Automatic Scoring of Dream Reports' Emotional Content with Large Language Models Lorenzo Bertolini Valentina Elce Adriana Michalak G. Bernardi Julie Weeds 8 3 0 28 Feb 2023
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics Francisco Valentini Juan Cruz Sosa D. Slezak Edgar Altszyler 22 3 0 15 Nov 2022
n-stage Latent Dirichlet Allocation: A Novel Approach for LDA Zekeriya Anil Guven B. Diri Tolgahan Cakaloglu 17 5 0 16 Oct 2021
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,981 0 04 Mar 2010