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 cannot 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


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