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Commit ae2ef644 authored by Nayan Chandra Nath's avatar Nayan Chandra Nath
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Update README.md

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......@@ -7,9 +7,10 @@ Yelp is an application to give the stage to clients to compose surveys and give
The principle motivation behind our undertaking is to lead an exhaustive investigation on 7 distinctive food sorts of eateries which are Korean, Japanese, Chinese, Vietnamese, Thai, French and Italian, make sense of what makes a decent restaurant and what concerns clients, and afterward make suggestions of things to come improvement and benefit development. In particular, I will chiefly break down clients' audits and make sense of the reasons why clients love or abhorrence the restaurant. For instance, there might be incredible audits principally because of the well disposed administration, or negative surveys about the high cost. In the interim, I will likewise look at among those 7 diverse cooking types and make sense of contrasts from audits and increase profitable bits of knowledge to make altered suggestions to various kinds of restaurants.
# 2. Description of Data
The Yelp dataset is downloaded from Kaggle website. In total, there are 5,200,000 user reviews, information on 174,000 business. we will focus on two tables which are business table and review table.
The Yelp dataset is available on https://www.yelp.com/dataset_challenge/dataset. In total, dataset consists of 5,200,000 user reviews, information on 174,000 business. I will be focused on two tables which are the business and review table.
**Attribues of the business table are as following:**
**Attributes of business table are as following:**
* business_id: ID of the business
* name: name of the business
* neighborhood
......@@ -79,7 +80,7 @@ The Yelp dataset is downloaded from Kaggle website. In total, there are 5,200,00
* Merge business table and review.
# 5. Findings
In general, We found out that for most restaurant types, delicious ranks first among all positive words, indicating that tastes might weight more than other factors like service and price when people are judging a restaurant. For most cuisine types, the word friendly rank first before the word reasonable, which means the friendly service is more likely to be the reason for the high score rather than reasonable price. It could also be observed that when it comes to the flavor of food, customers value freshness more than tastiness.
In general, I found out that for most restaurant types, delicious ranks first among all positive words, indicating that tastes might weight more than other factors like service and price when people are judging a restaurant. For most cuisine types, the word friendly rank first before the word reasonable, which means the friendly service is more likely to be the reason for the high score rather than reasonable price. It could also be observed that when it comes to the flavor of food, customers value freshness more than tastiness.
Different characteristics are also shown for different restaurant categories. Vietnamese and Italian food received positive feedback because of freshness, while French restaurants received positive reviews for their sweet food. However, sweet food is the reason for Korean restaurants to have negative reviews. Korean, Japanese, Chinese, and Thai have positive reviews mainly for their friendly service, especially for Korean restaurants, since attentive ranks third. The variety of food is also the reason of high score for Korean, Japanese and Thai cuisine types. Fun and creative are special charateristics for Japanese restaurants. For Italian cuisine type, customers prefer classic Italian food. The reason of high score in French cuisine type is related to the romantic and beautiful appearence or environment.
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