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Build a NLP-python based binary classifier, that differentiates between "good product" and "bad product" query.

₹12500-37500 INR

Lezárt
Kiadva ekkor: majdnem 5 évvel ezelőtt

₹12500-37500 INR

Teljesítéskor fizetve
1) Prepare dataset for good product vs bad product query if required. ( One can do it quickly using [login to view URL] ) 2) Examples of good product queries - "nail polish to go with navy dress" - "computer science book" - "dog seat cover" - "dog seat cover for ford f150" - "iphone 7 yellow case" - "multi purpose hammer" - "hammer with rubber head" - "Samsung phone's best cover" - "General purpose hammer" - "non toxic baby soap" 3) Examples of bad product queries: - "battery life of iphone 7" - "nail polish may kill you" - "social work" - "table dimension" - "rock music" - "computer science" - "hammer broke iphone 7" - "nokia phone stronger than hammer" - "iphone 7 damaged by new case" - "Samsung phone looks ugly with cover" Criteria for success: Will randomly query suggestions from [login to view URL] and check how the algorithm is working. Note 1: Attached files, I got from [login to view URL], by using some seed words like: "battery life", "nail polish", "rock music", "social work", "dog seat cover", "iphone 7" and "hammer" . I have a paid account for answerthepublic.com. Do let me know if you want more data for seed queries. Note 2: I tried to remove few bad queries by using some stop-words like "you", "my", "won't", etc., And also using bit of nltk based POS tagging and considering only queries ending with nouns. But had minimal success. Looking for a superior solution with high precision [ Its ok if you loose few good queries, but classifying bad query as good query has to be very minimal ] Note 3: Feel free to use any of the nlp libraries like spacy, nltk etc., Additional task: Convert the query to product if possible Few Examples: "social work" to "social work book" "rock music" to "rock music cd" "computer science" to "computer science book"
Projektazonosító: 20070843

A projektről

7 ajánlat
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Aktiválva: 5 évvel ezelőtt

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Hello, Greetings of the day.!! I have a preferred freelancer badge. Which means I am in top 3% of AI ML freelancer. I have successfully delivered more than 80 AI/ML projects(R and Python) in last 9 Months with best rating and reviews. Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studio) and Python Programming. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project.   If we get a chance to cooperate, I'll do my best to provide wonderful result. Some of the recent projects I have worked upon - 1) Text Classification and Categorization 2) Stock price forecasting using Neural Network 3) Face recognition using OpenCV / Python 5) LSTM RNN CNN for sequence classification and prediction 6) R programming real time assignment _R_ 7) Electricity Load forecasting using Deep Learning models using _Python(Keras)_Tensorflow 8) so on ..... You can check my all projects and detailed portfolio on my profile || Link -  https://www.freelancer.com/u/invincible1428 Skills - R Python R Studio Sklearn Keras Tensorflow Flask REST API Ping me for more details. Lets Discuss....!
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Az ügyfélről

INDIA zászlója
Visakhapatnam, India
5,0
8
Tagság kezdete: okt. 27, 2010

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