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The Methodology Behind Brand Republic’s BR 200

mayo 18th, 2011. Publicado por

This morning Brand Republic published The BR 200 – a list of 200 of the web’s most influential bloggers on marketing, media and digital.

Unsurprisingly, there has been a fair amount of excitement surrounding the list so far today, with some people questioning ‘surprising entries’ and ‘curious omissions’.


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Voting Referendum: Social Media says ‘yes’ to AV

mayo 5th, 2011. Publicado por

As things stand, the nation’s media, pollers and bookmakers are all pretty confident that, today on Thursday 5th May, the UK public will say no to AV in the Alternative Vote Referendum:
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Social Media’s Favourite Royal Wedding Guests

mayo 4th, 2011. Publicado por

On Friday 29th April, Twitter was awash with chatter about all things Royal Wedding. »


How does sentiment analysis work?

abril 20th, 2011. Publicado por

Sentiment analysis continues to be one of the most debated areas in social media monitoring, so we thought we’d give a brief overview of the topic and how we approach it at Brandwatch. Here’s our resident expert, Dr Taras Zagibalov, who conducts all our language research and works alongside the tech team to continuously improve our automatic sentiment classification. Over to Taras:

There are two major techniques used in automatic sentiment analysis. The most frequently used one in commercial applications is based on linguistic resources, the other is based on machine learning.
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Trend Species: jokers, mysteries and more

abril 13th, 2011. Publicado por

All kinds of topics trend and sweep across Twitter. Some are sustained and some are shortlived; some are serious and some are silly. Often it’s not apparent why exactly they are trending, but here we take a look at the various species you might see, what’s likely to have caused them and how their characteristics differ. We’re going to maintain a musical theme in doing so, due to the particularly high number of artists trending last week. »


Social media monitoring – it’s acquisition land

abril 3rd, 2011. Publicado por

I wrote most of this last year – in fact I wrote it in July last year. For some reason that I can’t remember, I decided not to publish, but given the acquisition of Radian6 last week it still seems relevant, so here goes…

Written in July 2010

Just as quickly as another competitor appears in this space, one of the existing Companies is snapped up. There’s a good list on Nathan Gilliatt’s site of all the deals in the sector. There have been 8 already in 2010 compared with 2 in 2009 – the needle has definitely moved this year. So why is this happening? Let’s look at a few of the potential reasons from the point of view of the SELLER as that’s what I’m somewhat qualified to do:
[nb, I'm the founder of Brandwatch and still hold a large, but not controlling, stake in the company]

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Social Media Monitoring: how to build a good query

septiembre 22nd, 2010. Publicado por
haystack3

Social Media Monitoring is bit like finding a needle in a haystack, or lots of needles but in a big haystack. For most brands there are dozens or hundreds of interesting mentions every day, but the problem is that they are hidden among thousands of less interesting or completely irrelevant mentions. Defining the query properly, with Boolean words like AND, NOT, OR etc., can reduce this problem so that it feels more like looking for needles in a mere handful of hay (apologies for stretching this metaphor uncomfortably far).

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The Anatomy Of Social Media Around A Conference

marzo 16th, 2010. Publicado por
bw-thumbs-estoril-event

Last week I went to the i-com conference in Estoril. It was an interesting event and a big thanks goes out to Andreas Cohen for organising it. »


The Sentiment Of The Web

marzo 10th, 2010. Publicado por
bw-thumbs-sentiment-web

We’re twice as likely to say something positive as negative on the public internet. I find that rather life-affirming! »


Twitter and mozRank Help Us Measure What’s Important

noviembre 6th, 2009. Publicado por

Brandwatch is a data company: our crawlers are dedicated to finding as many pages out there as they can. For our customers, higher volumes of data are generally better – they have more to work with, and can drill down using filters, keyword searches or browsing through topics. But given thousands of pages per day or per week, how does a human decide which are the most important ones to look at? Which ones need attention first? Which blogs or forums have the most impact, or influence? »


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