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Sentiment analysis program

₹12500-37500 INR

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已发布将近 2 年前

₹12500-37500 INR

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Need a developer to create a Sentiment analysis program. Developer - Data scientist, Python Programing, Database, javascript Project Identify and categorise customers/users on LinkedIn based on sentiment analysis of blog posts on LinkedIn 1. Identify all users who commented on the post 2. Sentiment analyses >> Positive comments vs negative comments 3. Classify if the user is parent/teacher/student/influencer/Paid user/other 4. Classify if their comment is associated with a specific brand Example blog [login to view URL]
项目 ID: 33321896

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活跃2 年前

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Hello sir, I am a python developer with more than 2 years of experience. I have done many projects in past. I can work on : 1. Web Scraping / Data Science / ML 2. Django 3. APP development 4. C/C++ 5. Wordpress Lets discuss your project in more detail in chat for better understanding. Please look at my profile once. Thanks.  Jaibhan Singh Gaur.
₹12,500 INR 在5天之内
5.0 (16条评论)
3.8
3.8
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Hi, I’ve seen that you need someone that is able to do a sentiment analysis tool, and I can do that. We can also develop a web page for you to look into the data for you to look into the data. You can contact me so we can talk more about the project and start as soon as possible. Thanks!!
₹37,000 INR 在7天之内
5.0 (3条评论)
3.1
3.1
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Hello, I am currently in my final semester of Master's in Weba and Data Science(University of Koblenz, Germany). I have done some projects in NLP and also built a project for sentiment analysis on Twitter data using BERT model. Hands on experience in web-scraping using scrapy framework, beautifulsoup. Apart from this I had 3 years of professional work experience as Software Engineer. I strongly believe my skills perfectly matches for this project. I am really looking forward to collaborate with you and hope we will have further discussions to get more information about the project. Best Regards, Naga Kartheek Reddy Kona.
₹30,000 INR 在7天之内
0.0 (0条评论)
0.0
0.0

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INDIA的国旗
Bangalore, India
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会员自6月 10, 2013起

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