MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 237 MB
Genre: eLearning | Language: English
Sentiment Analysis has become increasingly important as more opinions are expressed online, in unstructured form. This course covers rule-based and ML-based approaches to extracting sentiment from opinions, including VADER, Sentiwordnet, and more.
Online opinions are becoming ubiquitous – more people are expressing their views online than ever before. As a result, extracting sentiment information from these opinions is becoming very important. In this course, Building Sentiment Analysis Systems in Python, you will learn the fundamentals of building a system to do so in Python. First, you will learn the differences between ML- and rule-based approaches, and how to use VADER, Sentiwordnet, and Naive Bayes classifiers. Next, you will build three sentiment analyzers, and use them to classify a corpus of movie reviews made available by Cornell. Finally, you will gain a conceptual understanding of Support Vector Machines, and why Naive Bayes is usually a better choice. When you’re finished with this course, you will have a clear understanding of how to extract sentiment from a body of opinions, and of the design choices and trade-offs involved.
Download uploaded
http://uploaded.net/file/vylelx6f/Building%20Sentiment%20Analysis%20Systems%20in%20Python.part1.rar
http://uploaded.net/file/skwrmdmf/Building%20Sentiment%20Analysis%20Systems%20in%20Python.part2.rar
http://uploaded.net/file/9mvhpmno/Building%20Sentiment%20Analysis%20Systems%20in%20Python.part3.rar
Download nitroflare
http://nitroflare.com/view/2E4D129587C8CBF/Building_Sentiment_Analysis_Systems_in_Python.part1.rar
http://nitroflare.com/view/F75A0F902AC3ECE/Building_Sentiment_Analysis_Systems_in_Python.part2.rar
http://nitroflare.com/view/4819B019D9F0B92/Building_Sentiment_Analysis_Systems_in_Python.part3.rar
Download 百度云
链接: http://pan.baidu.com/s/1c1kCaU 密码: 9iy7
转载请注明:0daytown » Building Sentiment Analysis Systems in Python