折磨
发表于 2025-3-27 00:51:15
TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers’ Sentiment in Brazilian Portuguesences, opinions, and feelings of users or customers. These electronic . statements expressed on the web are prevalent in business and service industry to enable a customer to share his/her point of view. However, it is impossible for humans to fully understand it in a reasonable amount of time. Opin
分发
发表于 2025-3-27 01:27:53
Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrativ done for Portuguese. Here, we describe the results of creating a unified environment, entitled Coh-Metrix-Dementia, based on a previous tool to analyze discourse, named Coh-Metrix-Port. After adding 25 new metrics for measuring syntactical complexity, idea density, and text cohesion through latent
向下五度才偏
发表于 2025-3-27 05:23:21
http://reply.papertrans.cn/24/2330/232921/232921_33.png
NEEDY
发表于 2025-3-27 11:35:38
http://reply.papertrans.cn/24/2330/232921/232921_34.png
梯田
发表于 2025-3-27 13:35:34
Finding Compositional Rules for Determining the Semantic Orientation of Phrasesed on that principle, this paper presents a method for finding the set of compositional rules that best explain the ., ., and . semantic orientation (SO) of two-word phrases, in terms of the SO of its words. For instance, the phrase “.” has a negative SO. A corpus was built for evaluating the propos
conifer
发表于 2025-3-27 20:10:18
http://reply.papertrans.cn/24/2330/232921/232921_36.png
Introduction
发表于 2025-3-27 22:03:35
Semantic Relation Extraction. Resources, Tools and Strategiesan be arranged in machine-readable formats, useful for several applications that need structured semantic knowledge. The work presented in this paper explores different strategies to automate the extraction of semantic relations from texts in Portuguese, Galician and Spanish. Both machine learning (
被告
发表于 2025-3-28 03:03:41
Extracting and Structuring Open Relations from Portuguese Textguage processing techniques employed. This paper presents the extraction and structuring of open relations between named entities from Portuguese texts. We apply the Conditional Random Fields model for the extraction of relation descriptors between named entities belonging to Person, Place and Organ
变化无常
发表于 2025-3-28 06:41:05
http://reply.papertrans.cn/24/2330/232921/232921_39.png
majestic
发表于 2025-3-28 12:11:47
http://reply.papertrans.cn/24/2330/232921/232921_40.png