Ruchik Gandhi IIM Indore Method

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 RUCHIK K. GANDHI IIM INDORE [email protected]/09584154999     Duplicates in terms of the Retweets (RT) from the AamAadmiParty tweeter handle are removed to avoid double counting of the sentiments REDUNDANCIES FINAL CLEANING Various tweets which are blank or invalid are also removed to ensure that only the relevant tweets and the followers are considered for analysis WEIGHTED MESSAGES All the tweets are considered while understanding the active followers of AAP and accounting for RTs done on the tweets of other celebrities/Twitterati Common Man Aam Aadmi 1. Relating to the Common Man since the party is made for this segment and not on the basis of any caste/religion H ypothes is  1 2 3 213% Caselet3 AAM AADMI PARTY DATA CLEANING THEME ANALYSIS & SENTIMENT ANALYSIS METHODOLOGY: In order to identify the theme & the sentiment among the tweets done with the handle of Aam Aadmi Party there were certain hypotheses made and corresponding key words were identified. The tweets were then searched and the count of these key words was maintained. Correlation was found and the hypotheses with a confidence of 85% were considered to be true (failed to reject). A list of successful hypotheses with the corresponding key words are listed below: Similarly for sentiment analysis, it was measured whether people associated the existence of AAP with real per manent change, temporary change or no change Key Wor ds   Corruption  Brashtachar 3. Corruption: The one word which could be attributed to the surfacing & the existence of AAP has been to remove corruption Democracy True Sense 2. The Real Democracy: This hypothesis has the foundation in the way AAP has decided to take decisions (even the most important ones!) Decision Making Voice is Heard 4. SENTIMENT ANALYSIS: All the tweets containing t he key word change were searched and further filtered based on their contents like Permanent, Temporary & No Change. The same analysis was done for tweets done before the elections and after the declaration of the results. The difference in the result is presented in the Infographic NEWS LINKED INFERENCES METHODOLOGY: The major news related to AAP were identified with their dates & the tweets in the range of +12 hours were analysed to view the reaction of the Twitterati to that news. Key words used to analyse the tweets emerged from the news itsel f 4 COMPETITIVE ANALYSIS Competitive Analysis was done through hard facts found through various online tools. These facts represent how Aam Aadmi Party  performs when c ompared to the other political parties on the tweeter platform. Number of followers & number of twe ets (along with their constituents gives a detailed idea about the social media strategy of these political parties. The reaction of the common people can be judged by how much they follow these parties and how much they end up being in conversation with them. AAP clearly outperforms the others. The overall sentiment score is calculated using a MACRO developed on the algorithm used b y  Semantria 5 RECOMMENDATIONS And finally, being a Business School student, all the analysis and the inferences seem incomplete without recommendations (:P) and hence, without being asked, I have laid down some s hort term and long term recommendations for the AAP    after all I am also just a common man!

Transcript of Ruchik Gandhi IIM Indore Method

Page 1: Ruchik Gandhi IIM Indore Method

8/9/2019 Ruchik Gandhi IIM Indore Method

http://slidepdf.com/reader/full/ruchik-gandhi-iim-indore-method 1/1 

RUCHIK K. GANDHI

IIM INDORE

[email protected]/09584154999  

 

Duplicates in terms of the

Retweets (RT) from the

AamAadmiParty tweeter handle

are removed to avoid double

counting of the sentiments

REDUNDANCIES FINAL CLEANING

Various tweets which are blank

or invalid are also removed to

ensure that only the relevant

tweets and the followers are

considered for analysis

WEIGHTED MESSAGES

All the tweets are considered

while understanding the active

followers of AAP and accounting

for RTs done on the tweets of

other celebrities/Twitterati

Common Man

Aam Aadmi1.

Relating to the Common Man since the party is made for this

segment and not on the basis of any caste/religion

Hypothesis  

1

2

3

213%

Caselet3 

AAM AADMI PARTY

DATA CLEANING

THEME ANALYSIS & SENTIMENT ANALYSIS

METHODOLOGY: In order to identify the theme & the sentiment among the tweets done with the handle of Aam Aadmi Party

there were certain hypotheses made and corresponding key words were identified. The tweets were then searched and the count of

these key words was maintained. Correlation was found and the hypotheses with a confidence of 85% were considered to be true(failed to reject). A list of successful hypotheses with the corresponding key words are listed below: Similarly for sentiment analysis,

it was measured whether people associated the existence of AAP with real permanent change, temporary change or no change

Key Words  

Corruption

 Brashtachar3.Corruption: The one word which could be attributed to the

surfacing & the existence of AAP has been to remove corruption

Democracy

True Sense2.

The Real Democracy: This hypothesis has the foundation in the way

AAP has decided to take decisions (even the most important ones!)

Decision Making

Voice is Heard

4.SENTIMENT ANALYSIS: All the tweets containing the key word “change” were searched and further filtered based

on their contents like “Permanent”, “Temporary” & “No Change”. The same analysis was done for tweets done before

the elections and after the declaration of the results. The difference in the result is presented in the Infographic

NEWS LINKED INFERENCES

METHODOLOGY: The major news related to AAP were identified with their dates & the tweets in the range of +12 hours were

analysed to view the reaction of the Twitterati to that news. Key words used to analyse the tweets emerged from the news itself

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COMPETITIVE ANALYSIS

Competitive Analysis was done through hard facts found through various online tools. These facts represent how Aam Aadmi Party

 performs when compared to the other political parties on the tweeter platform. Number of followers & number of tweets (along with

their constituents gives a detailed idea about the social media strategy of these political parties. The reaction of the common people

can be judged by how much they follow these parties and how much they end up being in conversation with them. AAP clearly

outperforms the others. The overall sentiment score is calculated using a MACRO developed on the algorithm used by Semantria 

5

RECOMMENDATIONS

And finally, being a Business School student, all the analysis and the inferences seem incomplete without recommendations (:P) and

hence, without being asked, I have laid down some short term and long term recommendations for the AAP  –  after all I am also just

a common man!