Topic: restaurant-reviews Goto Github
Some thing interesting about restaurant-reviews
Some thing interesting about restaurant-reviews
restaurant-reviews,Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model ๐ฝ๏ธ๐ Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews".
User: 2000pawan
Home Page: https://review-pawan.streamlit.app/
restaurant-reviews,Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model ๐ฝ๏ธ๐ Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews" .
User: 2000pawan
restaurant-reviews,This is the project that I created while working at TCS iON. The model is deployed on Heroku using Flask.
User: abhi7585
Home Page: https://sentiment-analysis-of-reviews.herokuapp.com/
restaurant-reviews,This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.
User: abhijit460
restaurant-reviews,Multiple Modeling Experiments for Binary Restaurant Review Classification, including CNNs, RNNs and DNNs.
User: abuzariii
Home Page: https://www.kaggle.com/code/matleonard/text-classification/data
restaurant-reviews,Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model โ Apriori algorithm and NLP on user reviews).
User: akshitvjain
restaurant-reviews,A repo to query Zomato API
User: alibakh62
restaurant-reviews,
User: anis000romzi
Home Page: https://my-restaurant-list.netlify.app/
restaurant-reviews,Dependency parsing was used to extract relevant information from a review in order to predict the sentiment of a given aspect term. Different machine learning models such as Naรฏve Bayes, Logistic Regression, Support Vector Classifier and Neural Networks were used to make predictions. A maximum accuracy score of 0.74 on the test dataset was achieved using Bidirectional LSTM model.
User: ankita1112
restaurant-reviews,My submission for Udacity's MWS Restaurant Reviews App Project Stage 3
User: attaradev
Home Page: https://resrev.netlify.com
restaurant-reviews,Collaboration for my GitHub students (Batch-2) | **Checkout** : https://aungttant.github.io/YourChoice/
User: aungttant
Home Page: https://hypethinkeducation.com
restaurant-reviews,Pencarian Restoran dengan Zomato API
User: azharrivaldi
Home Page: https://youtu.be/l60PKAQxgO4
restaurant-reviews,A Twitter application which crawls twitter to fetch and extract restaurants from tweets made about restaurants and rate each restaurant according to the tweet
User: beardeddonut
restaurant-reviews,๐ฝ๏ธ Predict sentiment(+ve / -ve) of Restaurant Reviews using NLP
User: bharatkammakatla
Home Page: http://predict-reviews.bharatkammakatla.com
restaurant-reviews,Food Blog
User: binujassim
restaurant-reviews,cat๐: the repo for the paper "Embarrassingly Simple Unsupervised Aspect extraction"
Organization: clips
restaurant-reviews,Udacity Restaurant Reviews Project
User: dekisr
Home Page: https://dekisr.github.io/Udacity-FrontEnd-P03-RReviewStage1
restaurant-reviews,Project 7
User: ebislab
restaurant-reviews,[IEEE'19] [Dataset] Sentiment Analysis of Bengali Texts on Online Restaurant Reviews Using Multinomial Naive Bayes
User: eftekhar-hossain
restaurant-reviews,Food-blogging | Restaurant Reviews
User: fiftyflavorsofshrey
Home Page: https://fiftyflavorsofshrey.github.io
restaurant-reviews,Project 6 for FEND Udacity / Convert a static design that lacks accessibility to be responsive on different sized displays and accessible for screen reader use. A service worker is used for creating a seamless offline experience for the users.
User: foxystoat
restaurant-reviews,Recommendation engine on restaurant reviews
User: gabll
restaurant-reviews,Simple hypothesis testing and sentimental analysis for beginners
User: hilarylim
restaurant-reviews,OpenTable Reviews Classification with BERT and Transfer Learning
User: issacchan26
restaurant-reviews,Mobile Web Specialist ND Restaurant Reviews App: Stage 1
User: jeremielitzler
Home Page: https://mws-nd-s1.puzzlout.com/
restaurant-reviews,An architectural kata on a restaurant review system
User: luigiberrettini
restaurant-reviews,๐ฅ Udacity front-end nanodegree restaurant reviews project
User: majhirockzz
restaurant-reviews,A mobile-first web application in Ruby on Rails that connects you to your friends via restaurant reviews. Created at Le Wagon.
User: minismith
restaurant-reviews,Created a fully functional restaurant reviews app with React, allowing users to search for restaurants in their area using Google places API for live data and real time reviews. Users are also able to add new restaurants, add new full review feedback.
User: mohamedsgap
restaurant-reviews,This is a project which uses YELP API to obtain data about restaurants in San Jose area and displays their information on a webpage.
User: necaprogramer
restaurant-reviews,Mobile UI Testing Activities and Code Reviewing in NoCountry 2nd Project MVP Delivery - Open to updates in Automation Testing
User: nicogiglio
restaurant-reviews,Udacity MWS Nanodegree project 3
User: nimit95
restaurant-reviews,Java Client for using Yelp Fusion API
User: ranesr
restaurant-reviews,Ripe Apples - A Restaurant Review Aggregator
Organization: ripe-apples
Home Page: http://www.ripe-apples.com/
restaurant-reviews,Docker supported restaurant crawlers.
User: sahupankaj10
restaurant-reviews,
User: santhiyadaniel
restaurant-reviews,
User: sb011
restaurant-reviews,Restaurant Review App project from Udacity Mobile Web Specialist Track.
User: shreyanshushekhar
restaurant-reviews,Project done under the course Machine Learning A-Zโข: Hands-On Python & R In Data Science. This project reads a TSV file, cleans the restaurant reviews, generates a bag-of-words model and uses a classifier which tells whether the review is a positive one or a negative one.
User: shreyateeza
Home Page: https://www.udemy.com/course/machinelearning/
restaurant-reviews,NLP - NLTK - Restaurant review analysis
User: singhvks
restaurant-reviews,Zomato review analysis
User: souvikb07
restaurant-reviews,Summarization of Indian Restaurant Reviews
Organization: taste-bots-capstone-project
restaurant-reviews,Authentic Restaurant Design Website
User: themarcusbennett
Home Page: http://antoniositalian.minimalmar.com/
restaurant-reviews,๐ฝ๏ธ ๐MWS-Restaurant-Reviews๐. Nanodegree Mobile Web Specilist.
User: tsuna-mi
Home Page: https://tsuna-mi.github.io/mws-restaurant/index.html
restaurant-reviews,Restaurant Review System is a Flask-based web application that allows restaurant owners to analyze and visualize customer reviews. This platform leverages natural language processing (NLP) techniques using the Natural Language Toolkit (NLTK) and TextBlob in Python.
User: vikranth3140
Home Page: https://restaurant-review-analysis-system-xe67.onrender.com
restaurant-reviews,Discovering latent features in restaurant reviews using Topic Modeling
User: vyshaal
restaurant-reviews,A restaurant reviews app featuring NYC restaurants
User: wlabi
Home Page: https://wlabi.github.io/Restaurant-Reviews-Udacity-FEND/
restaurant-reviews,In this repo i have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP, and i am using nltk Library for NLP. Deployed in heroku.
User: yogeshnile
Home Page: https://restaurant-review-analysis.herokuapp.com/
restaurant-reviews,In this repo I have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP.
User: yogeshnile
Home Page: https://restaurant-review-analysis.herokuapp.com
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