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Showing posts with the label Social media analysis

Statistics and Graphical Models in Data Science

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Statistics: For any aspiring data scientist, I would highly recommend   learning statistics with a heavy focus on coding up examples, preferably in Python or R. Mostly favorite series is the   Statistical Learning series. The SL Series is a   great primer on statistical modeling / machine learning with applications in R.(Reference by qoura.com) ·         Crucial component: Statistics is a crucial component of data science. At Twitch, The Professional data science team brings together three things: the first is statistics, second is  programming, and  third last is product knowledge. And we would never hire someone who wasn’t strong in stats. You can be a great programmer, but if you don’t know what Byes Rule is, then we have an engineering department I can point you to.” The origin in statistics is mostly undeniable. ·         Programming: Python:   Python is a mostly...

Big Boss 10 Bani J and Manveer Social Media Analysis

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This has been the most interesting analysis that I have been through. Twitter tweets have been extracted for Bani Judge and Manveer Gurjar, top 2 contestant of Big Boss Season 10 of India. The user-generated social media data has been analyzed and it has been statistically observed that Bani Judge is the topic of discussion in 68.45% of the tweets whereas Manveer Gurjar is in 61.23% of tweets. This has been analyzed using topic detection and tracking. This information clearly indicates that Bani Judge is in trend. More of analysis is done using sentimental analysis. Number of positive and negative twitter feeds have been observed. Out of total number of tweets, Bani Judge has received 89.5% of positive feeds and Manveer Gurjar has recieved 62.19% of positive feeds. The remaining section remains neutral. This clearly indicates that Bani Judge has won Indian hearts whereas Manveer Gurjar has achieved BB10 Trophy. As per analysis, many people were in the favor of the fact tha...

Social Media Marketing Strategies for Business

India is booming with startups in 2015 era. It has been rightly said that today, a cool dude is not the one who knows guitar, but the one who is crazy for his passions and own a startup. Startup can be of any kind. With this increase in number, there exist need to retain audience. Customer relations are very important for any and every business.  As people tend to lose interest in advertisements on radio and television, crowd becomes more smart and discuss about brands. This intellectual behavior of people is ever changing. To study this customer behavior is need of the hour. This can be done by understanding what people tweet, post or share on social media websites. From twitter tweets to youtube videos, there is lot of information available on web regarding human behavior.  There is need to study social media data and its analysis is required. Different strategies are prepared for customer retention, awareness of local/ global brands, marketing etc. Thus, differe...

Analysis using social network with Twitter

Twitter is one of the most easily available platform for such analysis. There are ample of things which can be studied, analysed and predict for future. For instance, understanding the patterns of communication among twitter users, linking between tweets, user - user similarity etc. These needs to be studied within twitter data itself. Haewoon Kwaak, Changhyun Lee, Hosung Park, Sue Moon, "What is Twitter, a Social Network or a News Media?", WWW 2010, April 26–30, 2010, Raleigh, North Carolina, USA has been the most popular study. This is the base for understanding of such analysis. Removing spam tweets, user profiling, trending tweets are some of the key factors which can be referred as a good study from this article. Many of the academic researchers and practitioners are working on this. It can be useful in future if considerable amount of work is done to automate some business units using social media data.