The way to learning natural language processing 09 uses Gensim library to construct word vector Word2Vector

There is a road to the mountain of books. Diligence is the path. There is no end to learning. It is hard to make a boat 1, Gensim constructs word vector 1.1 data preprocessing from gensim.models import word2vec import logging # Custom print log logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level = logging.INFO) O ...

Posted on Fri, 24 Sep 2021 09:03:23 -0400 by jimbo2150

User comment text mining

User comment text mining Learning objectives Know the role of comment text miningMaster the use of nltk and gensim for basic NLP processing 1, Introduction to comment text mining Text mining is to mine the content we are interested in from text informationWhy should data analysts focus on text data In our daily product and operation work ...

Posted on Fri, 24 Sep 2021 03:13:11 -0400 by hoogeebear

[NLP]⚠️Learn not to hit me!Half hour learning basic operations 9⚠️ Jingdong Comments Classification

Summary From today on we will start a natural language processing (NLP) journey.Natural language processing enables processing, understanding and use of human language to bridge the gap between machine language and human language. RNN RNN (Recurrent Neural Network), or Circular Neural Network.Compared with CNN, RNN can help us to proce ...

Posted on Tue, 21 Sep 2021 12:03:23 -0400 by tlavelle

NLP star sky intelligent dialogue robot series for natural language processing: in depth understanding of Transformer natural language processing KantaiBERT ByteLevelBPETokenizer

NLP star sky intelligent dialogue robot series for natural language processing: in depth understanding of Transformer natural language processing KantaiBERT ByteLevelBPETokenizer Step 3: Training a tokenizer This paper does not use the pre-trained marker, such as the pre-trained GPT-2 marker, but trains the marker from scratch. Hugging Fa ...

Posted on Mon, 20 Sep 2021 06:24:19 -0400 by Klojum

PyThorch natural language processing

Natural language processing (NLP) and Computational Linguistics (CL) are two areas of human language computing research. NLP aims to develop methods to solve practical problems involving language, such as information extraction, automatic speech recognition, machine translation, emotion analysis, question answering and summary.CL uses computat ...

Posted on Mon, 20 Sep 2021 04:07:37 -0400 by Mchl

task2 Updated emotion analysis

This document is the notes of datawhale emotion analysis team learning Github address: team-learning-nlp/Emotional_Analysis at master · datawhalechina/team-learning-nlp (github.com) This paper is the improvement and optimization of emotion analysis baselineIt involves how to use compressed filling sequences, load and use pre training word vect ...

Posted on Sun, 19 Sep 2021 09:28:00 -0400 by happyness

Hybrid attention mechanism (CABM keras code reproduction)

    In essence, the attention mechanism in deep learning is similar to human selective visual attention mechanism. The core goal is to select information more critical to the current task goal from a large number of information. The attention mechanism is a kind of weighting.     Generally speaking, attention mechanism is ...

Posted on Sat, 18 Sep 2021 22:23:52 -0400 by cleromancer

Datawhale teamed up to learn NLP_ Emotion analysis baseline updated learning notes

This article is for learning Datawhale 2021.9 team learning emotion analysis notes Original learning document address: https://github.com/datawhalechina/team-learning-nlp/tree/master/EmotionalAnalysis See for baseline notes https://blog.csdn.net/weixin_43634785/article/details/120289701?spm=1001.2014.3001.5502 There are many places in baselin ...

Posted on Sat, 18 Sep 2021 12:57:26 -0400 by stukov

In simple terms, it takes you to understand the principle of graph convolution neural network and the implementation of pytorch code

01 Big picture neural network After reading the graph neural network for a long time, I have learned a little from ignorance. Today, I want to express some thoughts on feature integration (aggregation) of graph neural networks such as GCN, GraghSAGE and GAT. On the one hand, it will enable more people to learn the essence of graph neural netw ...

Posted on Sat, 18 Sep 2021 02:14:35 -0400 by IndianaRogers

Artificial intelligence ----- > the third day, the time for data conversion, Tensorflow, a common machine learning algorithm

When is data conversion required and possible      Pre training conversion         -> Suitable for static model: that is, the model will not change with the change of user data          Advantages:              The transf ...

Posted on Fri, 17 Sep 2021 06:24:25 -0400 by peterg0123