Analyze Amazon Product Reviews

Given thousands or product reviews in local language, from different marketplaces, I need to automatically structure all feedback using a Natural Language Processing algorithm and advanced machine learning techniques. The ideal tool for this purpose is AWS Comprehend, from Amazon Web Services.

The process must be as follows:

1. Identify topics that consumers write on reviews related to a specific category.

2. Perform category sentiment analysis of opinions. Sentiment scores 1 if possitive, 0 if neutral, -1 if negative.

Each review may have many topics and we need to score a sentiment for each topic in each review.

Automatic monthly update of the analysis.

The attached file shows the structure of the data, input and output.

Evner: MySQL, Web Skrabning, NLP

Se mere: amazon product advertising api save items local database, predict rating given product reviews on amazon

Om arbejdsgiveren:
( 27 bedømmelser ) Sant Pere de Ribes, Spain

Projekt ID: #32276735

5 freelancere byder i gennemsnit €138 timen for dette job

(16 bedømmelser)

☀️☀️☀️☀️☀️ Hello , I hope you are safe and Doing well I have seen your project requirements , I am looking to discuss further with you Hope we will meet soon to discuss further Flere

€140 EUR in 7 dage
(1 bedømmelse)

Hello there! I am a web scraping and automation expert. Very familiar in PYTHON and Node.js. It is an enough experiences for me like NLP, Web Scraping and MySQL. I can start right away. I am coding from home. I am fl Flere

€100 EUR in 3 dage
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(0 bedømmelser)

Hello, I masters in AI & ML. I also have over 6 yrs experience in NLP and AWS. In your case, I would perform topic modelling and also perform sentiment analysis. I would train robust models to help you achieve your t Flere

€200 EUR in 7 dage
(0 bedømmelser)