Ingredient/Recipe Algorithm using Web Mining and Web Scraping for Smart Chef

Chaudhari, Shilpa; Aparna, R.; Tekkur, Vinay G; Pavan, Gianni; Karki, Shreekanth R

doi:10.1109/conecct50063.2020.9198450

Cited by 19 publications

(8 citation statements)

References 7 publications

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“…Web scraping allows the immense amount of information found on the internet to be compiled and analyzed to make sense of what is happening in a short amount of time [33]. Currently, web scraping has mostly been used to research food prices [34] and to extract recipes [35]. Previously, to understand the perception towards diet and food, surveys, records, 24-hour recall, and questionnaires were used [36].…”

Section: The Use Of Web Scraping and Text Analysis To Identifymentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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Understanding human perception and requirements on food for cancer prevention and condition management is important so that food applications can be catered to cancer patients. In this paper, web scraping was conducted to understand the public’s perception, attitude, and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analyses were carried out on results gathered from 82 social sites to determine whether noncancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer, and what do cancer patients need in a food app. The results of the text analysis highlighted gaps in existing apps, including a lack of credibility as there were a lot of fake news and myths about cancer and endorsement by professionals. Future food apps should provide personalized diets to include both plant-based diets as well as meat, symptom management, good user experience, credibility, and emotional and mental health support.

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Section: The Use Of Web Scraping and Text Analysis To Identifymentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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“…Dengan web scraping, scraper secara otomatis mengakses berbagai sumber digital yang berisi gambar aksara Bali, seperti situs perpustakaan digital, arsip online, atau koleksi digital. Scraper akan otomatis menavigasi halaman web, mengidentifikasi gambar aksara Bali, dan mengekstraknya secara massal [20], [21].…”

Section: Dalamunclassified

Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

Nugraha,

Asroni,

Dewi

et al. 2023

jurnalresistor

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Dataset gambar aksara Bali yang besar dan komprehensif adalah sumber daya penting dalam upaya pemeliharaan warisan budaya Bali serta pengembangan aplikasi terkait. Dataset ini memungkinkan analisis mendalam, pengenalan karakter, pemrosesan bahasa, dan pengujian aplikasi seperti pengenalan tulisan otomatis, pengajaran otomatis, dan pemahaman bahasa, yang semuanya mendukung kemajuan dalam pelestarian warisan budaya Bali. Metode penelitian untuk menghasilkan dataset aksara Bali melibatkan akses ke sumber data, analisis struktur web, dan penerapan teknik web scraping dengan JavaScript untuk pengambilan gambar secara otomatis. Dua tahap utama, yaitu inisiasi dan pengumpulan data, memungkinkan pengumpulan dataset dalam jumlah besar dengan efisiensi tinggi, mempercepat proses pengumpulan data dan meningkatkan akurasi dalam penelitian aksara Bali. Data yang digunakan berasal dari kamus bahasa Bali, bahasa Indonesia, dan bahasa Inggris, dengan total 35.319 kata dalam bahasa Bali, yang kemudian dikonversi menjadi aksara Bali. Hasil dari pembuatan dataset ini mencakup 35.319 pasang data berupa gambar teks aksara Bali dan tesk transliterasinya, memiliki potensi besar untuk pelatihan model pengenalan aksara Bali dan penelitian bahasa Bali. Langkah ini menguatkan ketersediaan dataset yang relevan, berkualitas tinggi, dan memiliki nilai signifikan dalam pengembangan teknologi serta penelitian lebih lanjut di bidang bahasa Bali dan pengenalan aksara Bali.

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“…[5] the concept of "web design scraping," that basically promotes the idea of extracting, understanding, and modelling website elements and features and so determining the significance of the web design. [6] The method suggested in this study gathers all recipe data using web scraping, after which Python and MongoDB are used to look for recipes that include the specified ingredient. The Python scrappy function is used in online scraping to take the content of a website.…”

Section: Related Workmentioning

confidence: 99%

Company Permissibility for Business Activities using NLP

Srinivasan

2023

Recent Trends in Data Science and Its Applications

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As the amount of web pages available on the visible net has increased to billions of pages with trillions of pages available from the invisible net, extracting data from the internet has become a highly essential procedure in the last few years. Several tools and protocols are made available which can extract this information, and these tools have come in great demand in recent times as researchers and surfers want to discover new knowledge at an ever-increasing rate. Investing in a company requires a lot of analysis to be done before plunging in. As part of this process, the analyst manually does a search of a company name in google, reads search results to determine if there are articles negatively impacting the company and based on this research recommends the company of investment. With enormous data available on the interest, this becomes a very tedious process. In this project, techniques like web scrapping and sentiment analysis are being applied. Libraries like beautifulsoup4, scrapy are being used for scraping the data. The web scraping process is automated using RPA (Robotic Process Automation) making the web scraping process easy as well as efficient. Another technique used is the sentiment approach that applies text analysis algorithms, natural language processing (NLP), and statistics to interpret customer sentiment classifying the customer opinions into positive, negative, or neutral categories. NLTK (Natural Language Toolkit) is applied to perform sentiment analysis.

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Ingredient/Recipe Algorithm using Web Mining and Web Scraping for Smart Chef

Cited by 19 publications

References 7 publications

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

Company Permissibility for Business Activities using NLP

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