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#Natural Language Processing
13 notes with this tag
- 01 Intelligent Dialogue Data Analysis & Mining I. Data Analysis and Natural Language Processing When handling many data analysis tasks, we inevitably run int… 11 min ✓
- 02 Getting to Know NLP NLP What Is Natural Language Processing It is the technology by which humans communicate with computers using natu… 3 min ✓
- 03 History of NLP NLP Early History of Natural Language Processing The history of natural language processing is really also the his… 3 min ✓
- 04 Multi-Task Learning NLP A Milestone of the New Century: Multi Task Learning Learning multiple tasks to improve generalization and tran… 3 min ✓
- 05 Applications of NLP NLP Applications of Natural Language Processing Word vectors are used to describe the relationships between words,… 4 min ✓
- 06 研究与工程实践 Chinese NLP 自然语言处理与工程实践:研究vs工程实践 在公司里面做实践项目与学术性的工作有什么差别 在学术环境,人们更关系训练,而在生产中,人们跟关心服务 我们在生产环境下可能回了很多的经历提升了训练精度,但是给用户的体验可能是等待… 4 min ✓
- 07 Edit Distance and Dynamic Programming NLP Edit Distance and Dynamic Programming Edit Distance This is a medium to hard problem on Leetcode. Edit distanc… 1 min ✓
- 08 文本处理技术 Chinese NLP 文本处理技术 文本分析流程 1. 原始数据(Raw data)网页文本 新闻 报告 2. 如果是中文需要segmentation分词 3. 清洗的操作:清洗内容是无用的标签,特殊符号,停用此,如果是英文法文等需要大写转小… 7 min ✓
- 09 Text Processing Techniques - Text Error Correction NLP Text Error Correction Techniques Text error correction is also called spelling correction or spell checking. T… 3 min ✓
- 10 关键词提取 基于特征统计 Chinese NLP 有的时候一篇文章可能只是需要关注这些关键词就够了,在有些场景下很可能就是某下关键词影响最后的分类结果,所以关键词提取也是一个很重要的预处理层面。我们基于一些特征来看看这个词是不是重要,最常见有一下几种: 1. 词频:一个… 6 min ✓
- 11 数据不平衡 Chinese NLP 比如有错误的文本要比正常的文本要少 处理数据不平衡 数据重采样 主要包括两个方面: 1. 上采样Over sample:增加量少的样本数,最简单的方式直接随机复制 2. 下采样Under sample:删除量多类别的样本… 4 min ✓
- 12 NLP入门(四)命名实体识别(NER) Chinese NLP %E5%91%BD%E5%90%8D%E5%AE%9E%E4%BD%93%E8%AF%86%E5%88%AB(NER) 1.webp) 山阴少年关注 0.5382018.11.14 20:24:20字数 1,086阅读 … 17 min ✓
- 13 TTS Real-Time Voice Cloning (Translation) NLP The original author is Corentin Jemine, a master's student at the University of Liège. This is an open source … 6 min ✓