FACODE is a tool to remove all thenon-genuine tweets on TwitterWhat’s it?What do we mean by a non-genuine Tweet?It is a tw...
Output is closer to realityFACODE provides only genuine tweets to analyse brands, entities, and companies on TwitterWhat’s...
What others offer…What FACODE does…How it works?• Tweet analysis:⁞ Only tweet content (words used)⁞ Anti-spam keywords cri...
Bitcasa caseCompanies wish to know the sentiment polarity of their brands, products,… There areanalysis tools that provide...
iPhone caseCompanies need to know the evolution of their social reputation. Analysing tweetsalong the time, we are able to...
Apple products caseCompanies wish to know whether their brands are mentioned in the social networksand compare their aware...
Facode | Tweet' detection
Facode | Tweet' detection
Upcoming SlideShare
Loading in …5
×

Facode | Tweet' detection

283 views

Published on

FACODE analyzes tweets, users, users' behaviour in timeline | www.easyinnova.com

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
283
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
5
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Facode | Tweet' detection

  1. 1. FACODE is a tool to remove all thenon-genuine tweets on TwitterWhat’s it?What do we mean by a non-genuine Tweet?It is a tweet wrote by a person or a computer:• To post links to phishing or malware sites• To advertise whatever irrelevant regarding thesubject• To improve Web positioning on the Internet (SEO)• To change opinion about something• To create trending topics trying to grab attention• To trick social media metering tools• …What do we mean by a genuine Tweet?It is a tweet wrote by people:• To share their thoughts• To give their opinions• To comment indeed• To suggest indeed• To complaint about• To communicate indeed• …
  2. 2. Output is closer to realityFACODE provides only genuine tweets to analyse brands, entities, and companies on TwitterWhat’s the goal?FACODE improves the qualityof social media metering resultsOriginal tweets FACODE analysis Reliable results
  3. 3. What others offer…What FACODE does…How it works?• Tweet analysis:⁞ Only tweet content (words used)⁞ Anti-spam keywords criteria• User analysis:⁞ User antiquity⁞ Number of followers• Tweet analysis:⁞ Up to 10 different analysis criteria based on tweet content⁞ Anti-spam keywords criteria⁞ Natural language analysis (syntactic and semantic)⁞ Statistical analysis (hashtags, words, links, mentions,…)• Tweets comparison analysis:⁞ Detection of tweet patterns among users⁞ Repeated tweets among users• User analysis:⁞ User twitter reputation⁞ User antiquity⁞ Followers vs followed people⁞ Analysis of the user interaction⁞ Followers (how many and who are)⁞ Number of received retweets, replies, mentions,…⁞ Repeated tweets, hashtags, links,…⁞ Tweets encouraging to follow others⁞ By means of which software the user tweets• User behaviour analysis along time:⁞ Study of user usage over time⁞ Aggressive user behaviour⁞ Comparison with bad user behavioural patterns⁞ Analysis of how the user use retweets, replies, mentions,…
  4. 4. Bitcasa caseCompanies wish to know the sentiment polarity of their brands, products,… There areanalysis tools that provide this information although they do not care whether the datathey analyse is genuine or not. With FACODE, they will be able to use real, correct dataand provide a solid unbiased sentiment analysis to their costumers34.9% positive6.3% negativeSentiment Polarity Chart with FACODESentiment Polarity Chart without FACODE56.5% positive3.9% negativeSome exciting results
  5. 5. iPhone caseCompanies need to know the evolution of their social reputation. Analysing tweetsalong the time, we are able to detect in which circumstances the popularity of thebrand, products, companies… artificially increases, why the non-genuine data comes upand whether these fake tweets are generated to benefit or damage.0100020003000Daily POSITIVE opinionsDaily NEGATIVE opinions02004006008001000Some exciting results
  6. 6. Apple products caseCompanies wish to know whether their brands are mentioned in the social networksand compare their awareness with other brands. As one can see in the followingplots, once FACODE has been executed, the difference with the original data could be ofrelevance and change the correct stats.1875715742265302304946883299790 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000TOTALFACODETOTALFACODETOTALFACODEIpadIpodIphoneNumber of MentionsSome exciting results

×