Natural Language Processing for Topics and Entities
$30-250 USD
Maksettu toimituksen yhteydessä
Build and deploy a Python solution in AWS, Azure, IBM Watson, Google Cloud or Google Colab to analyze comments and reviews.
>> Input: Comments
1. Use data from comments and reviews as input.
>> Output: Identify Topics and Entities and patterns
1. Determine patterns in satisfaction or dissatisfaction with the Topics or Entities discussed in the reviews.
a. Determine the Topics discussed in the comments, such as customer service, sales people, pricing/costs, time duration for service, maintenance, financing, sales experience, service experience, car experience with the vehicle, type of vehicle (car name, brand, truck, car, suv, etc.)
b. Determine Entities being talked about in the comments: Sales People, Dealership, Service Department People, Manager, car (car company, name of car, type, brand of car)
c. Determine Gender of the reviewer/commenter.
Projektin tunnus: #30460918
Tietoa projektista
17 freelanceria on tarjonnut keskimäärin $182 tähän työhön
Hello, I am machine learning engineer. I have good experience in NLP. Please check my profile I hope to discuss more. Thank you. nemanja.
hi i am a python ,R developer and machine learning engineer. i can do the project for you and get the code as per requirement . feel free to contact me and we can discuss the details .
Hello, Thank you for your care. I've just checked your job description carefully. I'm senior developer with 7+ years of Python. By using Python, I used to make AI engine, BOT, Web Scraping Tools and so on. Python is my Lisää
Hi I have gone through your project requirements I'm sure that I can complete this project because I build many models similar to this. I deployed models into webapps too . so please send message so we can discuss Lisää
Hello. Thanks for your job posting. I am very familiar with Python, Scrapy and Selenum. I can complete your task within a couple of days. I need to discuss more details with you. Thank you. Regards.
Hello, I am a team leader of various stack developers with good skills. Our stack includes Python, Php, Javascript and their relavant frameworks. You can ask anything related your job. And confirm you can hire us. Ping Lisää
Hi This can be done using encoder / decoder model, attention models, and NLP. The text can be mined for comments and reviews and analysis can be done on the scraped data. With extensive knowledge and ardent passion Lisää
-previous experience in such topics; -eager to chat a lot in this chat stream; -degree stats / maths;
I am a senior SWE specializing in ML/stats/deep learning/quant analytics. Looks like I can help you out. Open to facetime chat. Let me know.