Fisheye Analytics is a media monitoring and analytics service that aggregates media data from traditional and social media sources. It provides tools like the Media Lens to help users easily read, filter, and analyze large volumes of media coverage. The Media Lens allows filtering by metrics such as influence, reach, sentiment, geography, and concepts. It also provides analytics on the social media impact and similarity of articles. Reports can be generated manually or ordered from Fisheye as a paid service. Training covers basic functions of the Media Lens like setting keywords and filters, as well as advanced searches and creation of media lists.
The Codex of Business Writing Software for Real-World Solutions 2.pptx
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The Fisheye Analytics media lens training deck
1. Fisheye Analytics We know what is important. We know who is important. Worldwide. Training March 2011
2. About Fisheye Analytics A media monitoring and analytics service that aggregates media data in order to deliver reliable media monitoring services and research-quality media-related insights. ? We connect traditional and social media. No Name No Name
3. Fisheye Tools / Agenda Media Lens - Basic Daily reading Fast overlook and reporting Daily Email Account Manager Tool Set up Clients Set up Keywords Media Lens â Advanced Filtering Sorting Media Graph (in development) Mini Reports Manual Reports PR Sensor easy way to check performance in niche markets
4. Media Lens We know what is important. We know who is important. Worldwide. The fastest way March 2011
5. The Fisheye Media Lens Print clippings come via email, your twitter account is analyzed via a web service. You follow several accounts on Facebook and a colleague reads 77 Google alerts daily. We integrate all media into one single interface: The Fisheye Media Lens. Easy â Allarticles: news, blogs, Twitter, Facebook, videos âdirectly accessible Fast â Quickly read your media coverage by instantly filtering through it by topic, country, date and influence. Every article pre-analyzed for metrics, such as reach and sentiment Smart â Monitor the cross-over from traditional to social media to see which messages are the most âviralâ
13. Choosing and applying keywords Before reading / analyzing: you need to select the keyword you want to work with. One can COMBINE keywords so that any search and analytics is done in BOTH keywords together (key1 AND key2) One can make keywords a DEFAULT, every time you log in you will start with this keyword
14. Applying a date range To change the date range, simply click on the calendar icons and adjust accordingly, then click APPLY. For daily reading the date range should be changed to reflect From:yesterdayâs date To:todayâs date OR since the last log in
15. Basic sorting and filtering options Reading is made more convenient because you may instantly sort and filter your data by clicking on any of the pre-set sorting options at the top of the page or by clicking on the options on the right hand side. You can apply multiple options at the same time. Sorting options include Social impact Influence Date Media type Filter options via Analytics page Sentiment Language Country (note: not all articles are country tagged) Search WITHIN a Keyword
16. Simple filtering for any word You may pull out articles that contain any word by using the Search field on the top left hand side. Syntax to use: For a single search term, simply type in Xperia To search for a phrase, type in âXperia Playâ For two search terms, type in âXperia Playâ OR âXperia Arcâ
17. Sorting by Influence or Social Impact To see the âmost importantâ articles on the top of the list you can choose to sort by: Influence: how credible a source is based on traffic figures Social Impact: how âviralâ an article is based on its digital footprint on social sharing channels Simply click on any of the sorting options and the list will be re-arranged with the most important articles on top. If you need to clear filters, just click on Clear filters (see red arrow)
18. Email Alerts We know what is important. We know who is important. Worldwide. Adopting to the clients March 2011
19. Email Alerts One can get several Email alerts a day. Two different alerts are available: one Email on SEVERAL keywords (only top 5 hits) one Email with first 100 hits on ONE keyword Emails get set up by mailing to service@fisheyeanalytics.com Note: An Email Alert is OLD 1h after it was send. Most up to date is still the Media Lens 16
20. How to Start We know what is important. We know who is important. Worldwide. Setting up Clients March 2011
21. Set Up a Client account As a first step one needs to register a client. Once a client is registered, Brands2Life will have 4 weeks to convert this client into a lead before we start charging
22. Find the Perma Link Every user has a so called âPerma Linkâ. He can access the system WITHOUT any log in.
23. Control the Usage Is your client using the Perma Link? Is he working with it?
24. Setting up Keywords Step 1: go to the Perma Link All these words Any articles containing all three words Sony, Ericsson and K750 will be picked up by our system for analysis, even if these are words not found together in a phrase. Each word is taken as one individual word. This Exact wording or phrase Only articles which contain the exact phrase âSony Ericson k750â will be picked up by our system for analysis. One or more of these words Any articles containing any one of the words Sony, Ericsson or K750 will be picked up by our system for analysis.
25. Other Functions Any of these unwanted words â Articles containing any of the words here will be automatically left out for analysis. This function comes in particularly useful when you are tracking an acronym. For example, if you were tracking WWF for the World Wildlife Fund and you do not want to get any irrelevant articles on wrestling, you would want to type in this column World Wrestling federation. Baseword is how the sentiment of the article will be judged. That is, sentiment will be determined in relation to this base word as opposed to the sentiment of the article in general. If the keyword you are analyzing is the phrase Sony Ericson K750, you would type in this field: Sony Ericson K750
26. Media Lens Advanced We know what is important. We know who is important. Worldwide. Next Level March 2011
27. Advanced searches Advanced searches are applied when you need highly specific or multi-layered filters. Click on the Advanced Search option on the top right. A pop-up window will open. 24
28. Advanced searches continued Remember to choose the keyword that you would like to search within first. In the example shown, it is Sony Ericsson. Unless you are doing recurring research for a particular date range, always select the Anytime option. Use any of the filtering options below to include the filters you want, such as by country and by media list. Media lists will be dealt with later in the training deck. 25
29. Advanced searches: filtering by words Unless you are comfortable with boolean logic, click on the Need help with Boolean? option. Use the fields to get the exact articles you want. In the example given, I want to only see articles that feature the Sony Ericsson K750 but do not feature Nokia. In with all of the words, I will type in âEricssonâ and âK750â. In without the words, I type in Nokia. This way, only articles that contain âEricssonâ AND âK750â will be pulled up. Those that contain âNokiaâ will be filtered out. Note you should not use a comma or any other punctuation. 26
30. Advanced searches: filtering by phrases If I want only articles that have the full phrase âSony Ericsson K750â but, as before, I want to exclude articles that also mention Nokia, then I will use the with the exact phrase field. In with the exact phrase, I will type in âSony Ericsson K750â. In without the words, I type in Nokia. This way, only articles that contain âSony Ericsson K750â will be pulled up. Those that contain âNokiaâ will be filtered out. 27
31. Advanced searches: filtering by any word If I want only articles that mention at least one of Sony Ericssonâs mobile phone models, I use the with one of more of the words field. In with one of more of the words , I will type in all of the different modelsâ names. This way, articles that contain either âXperiaâ OR âK750â OR âZyloâ OR âVivazâ will be pulled out. Note, you should not use a comma or any other punctuation. 28
32. Saving your search When you are done setting up your advanced searches, you can choose to either click on Search (for instant one-time searches) or you can Save as keyword (for recurring searches of the same type). I want to create a new keyword which will help me read articles only from Australia everyday. Here I will search within âSony Ericsson APACâ check âAnytimeâ and pick country âAustraliaâ. Finally, I will click Save as keyword 29
33. Saving your search The Media Lens will prompt me to name my new search and save it in an existing folder or a new folder. Thereafter, it will be in the list of keywords on the top left corner and I will be able to select it anytime. Here, Iâve chosen to save my keyword as âSE Australiaâ and create a new folder called âAustraliaâ. To complete the save, I simply press the Create Keyword button. 30
48. Once you have put the desired filters on your media data set, click on Export. You may choose to export articles or analytics. The results will be restricted to the filtered articles that you see in the Media Lens. Then simply click Download.37
49. Manual Report Most of the reporting can be done via xls and powerpoint. Fisheye offers a support on this reporting. 38
50. Pdf Report There are two level of reports. Standardized pdf reports and manual reports.
51. Vision to Come We are working on a revamp of the OLD graphical interface. OLD New
55. Why do we need metrics? To make "sense out of mediaâ, just aggregating information wonât do. We need to categorize and analyze it too. To do this, we offer metrics* for three different levels. Editorial Marketing Value · Net Promoter Score · Social Media Impact · Reach Clicks from Sharing Sites· Comments Facebook "Likesâ · Re-Tweets · Diggs · Similarity Sentiment · Influence · Language · Country . Author · Source . Media type *Refer to the end of the appendix for the full list of metrics
56. SMI - Social Media Impact Social Media responses are an indication of how important an article is. How many people have reacted to your article? We capture all reactions across all social sharing channels. Aggregation of social shares Facebook likes and comments N All comments on the news article WSJ Le Monde All comments on the blog article All Tweets that of the article All clicks on the articleâs bit.ly link All shares on Google Buzz All recommendations on Reddit In this example âThe Timesâ article has the highest Social Media Impact
57. Credibility / Influence Credibility is computed at the source-level. The more read a source is, the more influential it is. Sources are assigned credibility ratings according to internet usage indicators. High influence Lutzâs blog Mid influence Jackâs Tweet Low influence
58. Sentiment Automated sentiment reading is a two-stage process and is always done in relation to a keyword. Todayâs iPad 2 event did not disappoint. While there were no real surprises for people following the iPad 2 rumor mill, it looks like a great upgrade over the original iPad. In fact, some say the iPad 2 is an awesome device. Reading: Positive Identify nature of keyword Compare associated expressions against pre-analyzed texts in the same genre Assign positive, neutral or negative sentiment reading Sentiment is an index which helps to categorize large data sets. Automated sentiment reading has different levels of correctness depending on the language used and the specific context of an article. Fisheye Analytics offers a statistical reading for correctness of the reported automated sentiment. Manual reading on the part of the client is recommended where understanding nuanced opinions is important. Automated sentiment can be customized for specific corpora, for example, politics, and for language types, on a project basis.
Comments: Software as a service â it will be important for investors⊠also important to use here cloud but for a PR and a Brand Manager⊠SAAS is most likely not adding anything. We should not claim governments if we have none. Btw⊠other might be discouraged to use us⊠maybe we supply a BAD government? We need a claim⊠WHAT DOES IT DO FOR ME⊠(see as well our whole discussion on sticky ideas). Radian6⊠Listen to the conversation⊠This is a nice claim, we should have one like: One tool for traditional and social media Understand what is said about you What is your Media image Understand how Journalists and your customers are building your image In terms of content⊠what does this platform do? worldwide â this is a competitive advantage⊠and some clients need it⊠thus a good value proposition make it easier (simple interface and one tool) âŠ. State of the art reading platform.. Yes that is cool if we are⊠but what is it what the client needs EASE of USE⊠lets tell him this⊠------------Other suggestion⊠(not sure, whether it is better â it is just a try for a dialogue) The world of media and media management has changed, daily are more online news, blogs, tweets, facebook etc. out. With Fisheye you can use those data for your business insights. Use one tool to understand what is said about you. Fisheye Analytics is a next generation media monitoring and measurement Platform. We combine social and traditional media.Our Services: Traditional and social media clippings â one tool for a simple usage Integrated analytics â a simple way to make sense out of the media data In-depth media research reports to investigate complex business issues-----We are working on this champagne line now way too long⊠lets just put the ones we had up in a ppt and lets ask our clients, friends etc. on what they think.----Last comment⊠we should not do picture overlays⊠pls. lets explain ruchi, that if she wants to create a view of a LOGO in the back, we should do this in the template and not on the slide.
I would say you have been talking to Ashwin quite a lot⊠ï the âNo â Log in requiredâ âŠ. It is great as we hope that people start using it⊠but this is not a value proposition.. It is a feature. A feature people do not even thing about. No one has so far complained about the log in.. They are just not using it⊠Thus lets not put this in a marketing presentation.I guess we should go with a brand name, but âFisheye Reading Platformâ? Rather then âFisheye media lensâ that makes at least as well our claim visible.Holistic platform⊠we came up with this claim since the Lexis Nexis integration⊠the word holistic however very often gets not real interestâŠHow about âWe marry traditional and Social Mediaâ by offering one interface to access all articles?Analyze and filtering⊠again this is a technological detail⊠we are here to make your life easier in clipping. Thus⊠let state this. Also REACH and EMV⊠how is someone supposed to know what this is⊠I realized this as the editor of HBR reacted very aggressive against those terms⊠âwe would need to explain them on a separate pageâ⊠right.. EMV is an algorithm we defined.. NO ONE in the world uses it. Let me give it a try:----------The dialy issue of any communication manager. The print clipping comes via email, your twitter account is analyzed via a web service. You follow on facebook several people and your intern is reading 77 google alerts daily. We will ease your life by marry all services into ONE Tool the Fisheye media lensE. EASY - All articles directly accessible FAST â Get the ghist of your media coverage by easy filtering using fisheye analytics SMART â monitor the crossover to see how your market message is spreading
We should do this as a clickable object⊠if there is internet it goes directly to the page of our SOCIAL MEDIA monitorâŠ.For this page, lets put out what is special about itâŠ. Point to the features⊠our interface is not self explanatory.
Strongly feel that this explains it better than the homepage picture.We need to ensure SMI, Similarity and Influence are understood as 3 separate concepts.
Oh⊠good point⊠we should come up with facebook credibilityâŠHi Lyd⊠I guess this would have been a no go for many⊠NYT is twice as important as mashable⊠uhhh. Do not go to SM âgurusâ with this statement. I also included tweets in the pic.I incl. as well Tweets⊠pls. come up with a low influential paper and a mid influential paper⊠tip it is not techcrunchâŠ
Changed the color coding⊠RED POSITIVE sounded funny to me.Can you make the arrow etc. consistent with the color coding.The ANAPHORA algorithm identifies it, him, he, his etc⊠as well.. Thus pls include this funkyness into this slide.Good to have the explanation right here.We should however have a disclaimer on that page:Sentiment is only an index which works on large data sets. It does not work if the client messaging negative news which are not related to the client⊠UNICEF talking about the hunger in the world. Moreover, Sentiment has different correctness levels depending on the used language.-----There are two ways of judging sentiment. One is to manually read and code articles, one is to automatically code articles. The automatic coding is done in relation to keywords and concepts. Sentiment is computed relative to a pre-specified entity or "base word".  The coding works in two stages.1) The Fisheye Analytics Algorithm starts by looking only for sentences in a text which refer to this base word directly. Using anaphora resolution or, simply put, by seeking and mapping syntactic conventions, this algorithm identifies expressions relating to the objects and subjects of a text and associates these back to the pre-specified base word. Critical to the anaphora resolution is a 'Named Entity Recognition' program, which judges the nature of this base word to see for example whether it is a person, institution or other subject. When it has identified what exactly is being judged, the second stage of the analysis begins.2) Using the anaphora that have been found and contextualised, the programme then matches the text to relevant corpora (databases of text that share the same topic) which have been indexed by topic and pre-analysed by human coders. It then compares the text against these corpora. The Fisheye Analytics corpora are part of a proprietary database that houses pre-analysed texts on a wide range of topics such as: finance, politics, sports, education and general business. Those corpora will be "trained" to take on ever more complex reclassifications and interpretations using machine-learning techniques. Depending on the requirements, Fisheye Analytics will create new corpora to deal with different topics.The quality of the automated sentiment check is dependent on the integrity of grammatical or syntactical rules in the text. Thus the analysis is most accurate for grammatically-written articles in the English language. Any automated sentiment will be verified by a statistical check using human coding if requested. These statistical checks will in turn help to improve and refine the algorithm in all languages.
I would say combine 6,7,8 to one slide.
Not sure we need similarity in this context? No slide in the report deck indicates it?
Added similarityDid not follow your list as I felt that some items were not relevant (see those in bold below) and I wanted to have shorter explanations. Many things are self-explanatory.Would use pyramid of metricsMake sure we show that we have 21 metricsOverview of 21 Metrics in general Author - Who is the author? Source - Who is the source? Media Type - What kind of Media (TV, Print, Twitter, Blog, Facebook etc) is it? Sentiment â Anaphora Algorithm - specially designed to estimate sentiment towards a keyword within the text Importance â Is a source heard or unimportant? (isnât this an amalgam of influence and SMI â how it is a metric on its own?)Reach â How many people will see a given article? Editorial Marketing Value â What is the equivalent monetary value of an article? Language â What is the language of the article? Geography â Where was the article published? Concepts â What are the main topics in the article? How is a MEME of an article spreading? Hype Index / Involvement Index â Predict the future of a given topic by observing trends in Twitter and blogsClicks from Sharing Sites - How often was this article "clicked on" coming from social media sharing sites? Comments on Articles - How many comments did this article get? Comments from Facebook on Articles - How often did someone comment on this article in facebook? "Likes" on Facebook - How many fans did "like" this article? Shares on Facebook - How often was the article distributed via Facebook? Re-Tweets of an Article - How often, did someone "re-tweet" the article Diggs on an article - How often "Digg.com" someone this article? Google Buzz on an Article - How often, did someone "re-buzzed" the article Reddit on an Article - How often did the article get a "thump up" or "down"? Digital Fingerprint of any article to see social impact - How often were parts of this article copied? (the metrics you named above form SMI this SMI is not a metric on its own)