Text Mining (TM) and Natural Language Processing (NLP) are very closely related to each other. Though TM is not really associated with the semantic and the syntax of a language, it does try to link documents or unstructured data in such a way that at the end of the day we can say ...
CNN (Johnson and Zhang, 2016) 0.84 Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings Official DPCNN (Johnson and Zhang, 2017) 0.88 Deep Pyramid Convolutional Neural Networks for Text Categorization Official VDCN (Alexis et al., 2016) 1.29 Very Deep Convolutional Netw...
depth=15,max_seqlen=500):super(DPCNN,self).__init__()self.num_classes=num_classesself.embedding_dim=100self.num_filters=250self.depth=depthself.cur_seq_len=max_seq_lenself.conv_block_repeat_num=int((net_depth-1)//2)# {net_depth- region embedding(1 layer)}// every conv_block(2 ...
在NLP中经常需要对特征表征之后的高维向量之间计算相似度,有向量a\mathrm aa和向量b\mathrm bb,a=(x1,x2,...,xn)\mathrm a=(x_1,x_2,...,x_n)a=(x1,x2,...,xn),b=... Improved Object Categorization and Detection Using Comparative Object Similarity...
A traditional method for efficient text categorization is here presented. Original features of the proposed model are a self-adapting parameterized weighting model and the use of linguistic information. The key idea is the integration of NLP methods within a robust and efficient TC framework. This ...
首先,文本分类的应用包括:question answering, spam detection, sentiment analysis, news categorization, user intent classification, content moderation... 输入的文本可以来自web data, emails, chats, social media, tickets, insurance claims, user reviews, questions and answers from customer services... 难点在...
The proposed model makes great improvements over RNN and CNN models and achieves the best performance on several benchmark datasets for text categorization. 展开全部 机器翻译 AI理解论文&经典十问 挑战十问 总结 本文的主要内容是提出了一种新的模型,即断开的循环神经网络(Disconnected Recurrent Neural ...
Text clustering, also known as text grouping or text categorization, is a technique used in natural language processing (NLP) and information retrieval (IR) to group similar documents or pieces of text into clusters based on their content or meaning. ...
Part-of-Speech (PoS) tagging:This techniqueassigns a tag to every token in a document based on its part of speech—that is, denoting nouns, verbs, adjectives, and so on. This step enables semantic analysis on unstructured text. Text categorization: This task, which is also known as text ...
Cybertron: the home planet of the Transformers in Go nlp machine-learning natural-language-processing translation deep-learning text-classification machine-translation text-similarity transformers named-entity-recognition question-answering bart summarization bert text-categorization huggingface bert-as-service ...