Programmer Think

NewsSort - News intelligence subsystem Demo video portal: NewsSort - News intelligence subsystem 1, Project introduction and description 1.1 project introduction: Projects in previous periods 2021 China software Cup - News intelligence subsystem In, we completed the training of news long text 10 classification model by fine-tuning training ...

2021SC@SDUSC In the source code analysis in the past few weeks, we have learned how drfact preprocesses the corpus and what the drfact model algorithm has done in the previous steps. However, I will not analyze the specific source code in this week's source code analysis. The reason is that when I conducted source code analysis this week and r ...

introduction This article is [theory] it's time to thoroughly understand the BERT model Sister articles. In this paper, we pass 🤗 The transformers library is used to practice using the pre trained BERT model. We will mainly focus on the emotion recognition task in practical text classification and the question and answer task in natural lang ...

[Paddle competition] iFLYTEK title - academic paper classification challenge 0.8+Baseline 1, Project introduction 1. Project introduction: This project is iFLYTEK title - academic paper classification challenge paddle version Baseline, with a submission score of 0.8 +. At present, there is still a large space for optimization, and more attem ...

This article is the sixth in the "malicious web page identification using PaddleNLP" series, which is continuously updated Series background: Malicious web page identification using PaddleNLP A series of projects focus on one of the biggest challenges in current network security management - how to prevent users from accessing malic ...

Given a piece of text, extract the monetary amount string, and standardize all amounts. Jianlp Chinese preprocessing and parsing Toolkithttps://github.com/dongrixinyu/JioNLP Where, jio.ner.extract_money and jio.parse_money can extract monetary amounts from a piece of text and standardize the results. Let's take an example: Given a paragraph o ...

[NLP] summary of Chinese and English keyword extraction technology in python Whether in Chinese or English, keyword extraction technology has very important application value and analysis value. The following introduces several common keyword extraction methods for Chinese and English in python environment. 1. English Several methods of extr ...

Task 1 & Task 2 data reading and data analysis The game data is text data, and each news is of variable length, which is stored in csv format. Therefore, you can directly use Pandas to complete the data reading operation. import pandas as pd train_df = pd.read_csv(r'train_set.csv', sep='\t') pd.read_csv common parameters: The read file ...

This tutorial will teach readers how to draw spatial data such as points, markers, labels, lines, models, shapes, and objects using cesium's Entity API. Cesium's prior knowledge is not required, but if the reader has no experience in this field at all, the reader may want to learn from it "Beginner's Chinese tutorial (original)" Start ...

catalogue 1. What is lstm 2. Network structure of lstm 1. Architecture diagram 3. lstm's door 3.1 description of input data 3.2 the core of LSTM is three gate functions 3.3 door 3.4 input gate 3.5 output valve 4. pytorch module parameters 5. lstm example Required packages: Source code: 6. Summary It's been a while since the last ...