Challenge Description – 

 •   I In today ’s world people have been very keen at using the technology . For 

 every basic need , people have involved the use of Softwares and   Apps . In the 

 last few years , Machine Learning has been used for most of the tasks . When it 

 comes to knowing people , you can not just do it by knowing people . There 

 should be a proper application , that ’d help in knowing people ’s interests , likes 

 and dislikes . A platform where we can adequately know people activity is 

 Twitter . We can know a person , by his timeline of activities . By applying the 

 concept of Sentiment Analysis which is a finite part of Machine Learning , we 

 have created an interface , where people ’s interest or opinions about a particular 

 issue can be judged . This would help a lot for Analysis or Grouping people into 

 a category . 

 •   We have created this with a vision of as it would reach all age groups . As we 

 know of today , everyone on this planet is aware about the use of social media 

 on a large scale . Hence , getting the profiles of people and getting proper 

 categorized format of their likes and dislikes on particular topics would be vastly 

 helpful for sure . 

 Selection-   I have selected tool visualization 

 •   Visualization or visualisation is technique for creating images , diagrams , or   animations to communicate a message . Visualization through visual imagery   has been an effective way to communicate both abstract and concrete ideas   since the dawn of humanity . 

 •   I strongly believe in the power of visualization . We must “ see that image ” in our   mind before we ever venture forth to manifest it . 

 •   Jim Carrey is one of my favorite examples of this . The famous comedian and   actor was once a “ wannabe . ” I remember seeing a highlight of his appearance   on " The Oprah Winfrey Show " back in 1997 and he spoke about his early days   trying to make it in the entertainment business . He was broke and had no future .   But he took a blank check and wrote out $ 10 million dollars to himself for acting   services rendered and dated it for Thanksgiving 1995 . 

 •   He said that he carried that check in his wallet at all times and looked at it every   morning , visualizing receiving $ 10 million dollars . Five years after he wrote the   check to himself and right before Thanksgiving 1995 , he found out that he was   going to make $ 10 million dollars from the movie " Dumb and Dumber . " That ’s   the power of visualizing your dreams . That ’s the power of dreaming . That ’s the   power of relentlessly believing and working toward your vision every single day . 

 Application –    I visualized that as output I get all the related information about an individual   profile . Also the words mostly used can be seen . 

 a. To fetch / select twitter profiles of people from different fields and then going 

 through their tweets(opinions ) regarding various topics . 

 b. Applying Sentiment Analysis(ML Algorithms ) to those tweets . 

 c. Classifying the tweets(opinions ) into Positive , Negative and Neutral . As a part , 

 we have applied the Sentiment Analysis Algorithm which is a part of Machine 

 Learning which makes it hugely attractive . The process is like : 

 a. Checking the opinion given . 

 b. If it consists words like Good , Great , Happy , Nice , etc , it ’d be categprized into 

 the Positive category . 

 c. If it possesses words like Bad , Worst , Irrelative , Ugly , etc , it;d go into the 

 Neagtive category . 

 Also words like decent , Ok , would thrive the review into the Nuetral category . 

 As in ouput the we get images of pie chart- 

 The words that are mostly used   are shown by word cloud – 

 Insight- 

 It is unrealistic to expect that data visualization tools and techniques will unleash a   barrage of ready - made stories from datasets . There are no rules , no ‘ protocol ’ that will   guarantee us a story . Instead , I think it makes more sense to look for ‘ insights ’ , which   can be artfully woven into stories in the hands of a good journalist . 

 Every new visualization is likely to give us some insights into our data . Some of those   insights might be already known ( but perhaps not yet proven ) while other insights   might be completely new or even surprising to us . Some new insights might mean the   beginning of a story , while others could just be the result of errors in the data , which   are most likely to be found by visualizing the data . 

 In order to make the finding of insights in data more effective , I find the following   process very helpful : 

 Approach- 

 If an alternative need to taken I used storytelling- 

 Storytelling is the process of using fact and narrative to communicate something to   your audience . Some stories are factual , and some are embellished or improvised in   order to better explain the core message . While this definition is pretty specific , stories   actually resemble a variety of things 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Challenge Description – 

 •   I In today ’s world people have been very keen at using the technology . For 

 every basic need , people have involved the use of Softwares and   Apps . In the 

 last few years , Machine Learning has been used for most of the tasks . When it 

 comes to knowing people , you can not just do it by knowing people . There 

 should be a proper application , that ’d help in knowing people ’s interests , likes 

 and dislikes . A platform where we can adequately know people activity is 

 Twitter . We can know a person , by his timeline of activities . By applying the 

 concept of Sentiment Analysis which is a finite part of Machine Learning , we 

 have created an interface , where people ’s interest or opinions about a particular 

 issue can be judged . This would help a lot for Analysis or Grouping people into 

 a category . 

 •   We have created this with a vision of as it would reach all age groups . As we 

 know of today , everyone on this planet is aware about the use of social media 

 on a large scale . Hence , getting the profiles of people and getting proper 

 categorized format of their likes and dislikes on particular topics would be vastly 

 helpful for sure . 

 Selection-   I have selected tool visualization 

 •   Visualization or visualisation is technique for creating images , diagrams , or   animations to communicate a message . Visualization through visual imagery   has been an effective way to communicate both abstract and concrete ideas   since the dawn of humanity . 

 •   I strongly believe in the power of visualization . We must “ see that image ” in our   mind before we ever venture forth to manifest it . 

 •   Jim Carrey is one of my favorite examples of this . The famous comedian and   actor was once a “ wannabe . ” I remember seeing a highlight of his appearance   on " The Oprah Winfrey Show " back in 1997 and he spoke about his early days   trying to make it in the entertainment business . He was broke and had no future .   But he took a blank check and wrote out $ 10 million dollars to himself for acting   services rendered and dated it for Thanksgiving 1995 . 

 •   He said that he carried that check in his wallet at all times and looked at it every   morning , visualizing receiving $ 10 million dollars . Five years after he wrote the   check to himself and right before Thanksgiving 1995 , he found out that he was   going to make $ 10 million dollars from the movie " Dumb and Dumber . " That ’s   the power of visualizing your dreams . That ’s the power of dreaming . That ’s the   power of relentlessly believing and working toward your vision every single day . 

 Application –    I visualized that as output I get all the related information about an individual   profile . Also the words mostly used can be seen . 

 a. To fetch / select twitter profiles of people from different fields and then going 

 through their tweets(opinions ) regarding various topics . 

 b. Applying Sentiment Analysis(ML Algorithms ) to those tweets . 

 c. Classifying the tweets(opinions ) into Positive , Negative and Neutral . As a part , 

 we have applied the Sentiment Analysis Algorithm which is a part of Machine 

 Learning which makes it hugely attractive . The process is like : 

 a. Checking the opinion given . 

 b. If it consists words like Good , Great , Happy , Nice , etc , it ’d be categprized into 

 the Positive category . 

 c. If it possesses words like Bad , Worst , Irrelative , Ugly , etc , it;d go into the 

 Neagtive category . 

 Also words like decent , Ok , would thrive the review into the Nuetral category . 

 As in ouput the we get images of pie chart- 

 The words that are mostly used   are shown by word cloud – 

 Insight- 

 It is unrealistic to expect that data visualization tools and techniques will unleash a   barrage of ready - made stories from datasets . There are no rules , no ‘ protocol ’ that will   guarantee us a story . Instead , I think it makes more sense to look for ‘ insights ’ , which   can be artfully woven into stories in the hands of a good journalist . 

 Every new visualization is likely to give us some insights into our data . Some of those   insights might be already known ( but perhaps not yet proven ) while other insights   might be completely new or even surprising to us . Some new insights might mean the   beginning of a story , while others could just be the result of errors in the data , which   are most likely to be found by visualizing the data . 

 In order to make the finding of insights in data more effective , I find the following   process very helpful : 

 Approach- 

 If an alternative need to taken I used storytelling- 

 Storytelling is the process of using fact and narrative to communicate something to   your audience . Some stories are factual , and some are embellished or improvised in   order to better explain the core message . While this definition is pretty specific , stories   actually resemble a variety of things
### Output: 