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Task : Spam Email Classification & AI enabled Email Classification Completed #2

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90 changes: 52 additions & 38 deletions README.md
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# idrc-rpaday2

Day 2 Challenge: Intelligent Email Classifier

1. Download excel data attached.
2. [Spam_Email_DataSet.xlsx](https://github.com/incubateind/idrc-rpaday2/files/6603736/Spam_Email_DataSet.xlsx)
3. Create Train Data -> train.csv
4. Create Test Data -> test.csv
5. Create a project in AI Center as Intelligent Email Classifier
6. Upload the dataset
7. Select the English Text classification ML Model
8. Train the ML Model with the dataset
9. Create a Uipath workflow which reads email as input
10. Using intelligent Email Classifier ML Skill detect whether email is spam or not.
11. Classify email in specific folders.

-----------------------------------------------------------------------------------------------------------
Day 2 Challenge: AI Enabled - Email Classifier

1. Create 2 ML Projests in AI Center
a. Sentiment Analysis
b. Language Detection
2. Deploy 2 ML Skills - Non retrainable models
a. Language Analysis - SentimentAnalysis
b. Language Analysis - LanguageDetection
3. Create a UiPath Workflow as follows
4. Input: 20 Emails in different langugages as follows:
a. 5 - English Language Emails
b. 5 - Russian Language Emails
c. 5 - Hindi Langugage Emails
d. 5 - French Emails
5. Create 4 Folders - For each language in Email.
6. Using Language Detection classify all the emails to respective folders.
7. Read Email Body of english language emails and identify sentimes from each email.
8. Create a Excel output file for English language emails and update the following columns.
9. Excel Output Format:
Sender Name | Email Subject | Email Body | Sentiment | Confidence | Email Time
10. Happy Automation!
# Hey Everyone👋🏻,
# **IDTC-RPA-Task_Day2**
# Welcome to my **UIPath Aut⚙mation** on **"Email Classification"**
---
- ## I am [Chandan Kumar Pradhan](https://www.linkedin.com/in/chandan-kumar-pradhan-0788361a0). A RPA Enthusiast. I earned today real out-of-the-box knowledge on `Language Detection` and `English Text Classification` like ML Skill sets on _**UIPath Studio**_. How to train a ML model and stuffs learned in another IDTC RPA tech camp associated with **UIPath** & **WonderBotz** organized by **IncubateIND**.

- ## Really I learned about **Robotic Process Automation with AI Center** from my mentor [Nisarg Kadam](https://www.linkedin.com/in/nisargkadam/) and [Parth Doshi](https://www.linkedin.com/in/parth-doshi-learning-by-doing/). Thanks for conducting this kind of tech camps [Anuj Sharma](https://www.linkedin.com/in/anujsharma378/), [Kaushik Roy](https://www.linkedin.com/in/kroy96/).
- ## I did today's task📝 successfully but yes it's tricky and somewhat easy😀.


## **Task_1: Intelligent Email Classifier**
---
>- **Step 1** - Created a Project in AI Center named `Intelligent Email Classifier`.

![](./Spam_Email_Prediction/.screenshots/Web%20capture_6-6-2021_151857_cloud.uipath.com.jpeg)

>- **Step 2** - Uploaded the dataset and trained the model with the dataset.

![](./Spam_Email_Prediction/.screenshots/Web%20capture_6-6-2021_155556_cloud.uipath.com.jpeg)
>- **Step 3** - Created an UIpath [workflow](./Spam_Email_Prediction/Main.xaml).

![](./Spam_Email_Prediction/.screenshots/Screenshot%202021-06-06%20172013.png)
>- **Step 4** - Emailed my self. And after run let the bot read the body and decide whether the email spam or not.

![](./Spam_Email_Prediction/.screenshots/yahoo.png)
![](./Spam_Email_Prediction/.screenshots/Screenshot%202021-06-06%20173434.png)
>- **Step 5** - Classified emails whether they *spam* or not.

![](./Spam_Email_Prediction/.screenshots/Screenshot%202021-06-06%20173644.png)
(Bot decided to move the email to 'junk folder')

## **Task_2 : AI enabled Email Classifier**
---
>- **Step 1** - Created 2 ML Projects in AI Center Sentiment Analysis & Language Detection.Deployed 2 ML Skills - Non retrainable models `1.` Language Analysis - SentimentAnalysis `2.` Language Analysis - LanguageDetection

![](SentimentAnalysis/.screenshots/Web%20capture_6-6-2021_155027_cloud.uipath.com.jpeg)
>- **Step 2** - Create a UiPath Workflow as follows.

![](./SentimentAnalysis/.screenshots/Screenshot%202021-06-06%20184311.png)
![](./SentimentAnalysis/.screenshots/Screenshot%202021-06-06%20184540.png)
>- **Step 3** - Input: 20 Emails in different langugages as follows: `a.` 5 - English Language Emails `b.` 5 - Russian Language Emails `c.` 5 - Hindi Langugage Emails `d.` 5 - French Emails.
Created 4 Folders - For each language in Email.
>- **Step 4** - Using Language Detection classified all the emails to respective folders.

![](SentimentAnalysis/.screenshots/Screenshot%202021-06-06%20185535.png)


>- **Step 5** - Final Sentiment Analysis and output: Excel_file.

![](SentimentAnalysis/.screenshots/Screenshot%202021-06-06%20191541.png)

# **Thank You ❤ IncubateIND || UIPath || WonderBotz.**
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