Konolabs, the AI scheduling service provider, has announced Kono Slack bot is available on Slack app directory.

 

Konolabs announced Kono for Slack, the release of their scheduling bot is now available on Slack. The bot allows teams to schedule ad hoc meetings and manage their work calendars directly from Slack.

With their new product, the company aims to help customers with their growing need to plan for the unplanned meetings in a world where many things come up last minute. Whenever there is a need to call a meeting on the fly, you can simply tag Kono or use "/kono" commands to schedule a meeting within a Slack channel. Kono will arrange a meeting at a time that suits everyone’s availability and notifies an overlap if there is one. The bot can also to give a summary of your meeting schedule and make changes to meetings if needed to.

“The idea of building a Slack bot came up quite spontaneously as we were brainstorming ways to improve how we set up our own internal meetings,” says YJ Min, CEO and Co-founder of Konolabs. “We noticed that most of our internal meetings are ad-hoc meetings and are called on Slack. This sort of naturally led us to try building a bot that lives within Slack and can set up meetings as we’re chatting in a channel.”

Especially, the company said in a blog post that it integrated latest interactive UI elements of Slack such as buttons, drop-down menus, dialogue components in order to put their users on a predictable path where they can see how the bot carries out a scheduling task.

The company has been running the scheduling email bot service since its official launch last September and will run Kono Slack-bot as an open beta starting today. Kono for Slack is free to use and works with Google, G-Suite, and Office 365 calendars, and Konolabs is also planning to add premium features of its Slack bot for their business customers with various pricing plans.

 

 

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Image credit: Twinword

 

This is the ninth post in our series: Discover Korea’s Tech, 

where we will talk to a mix of Korean startup entrepreneurs who stood their own ground with their technology, 

in Korea’s economy notoriously dominated by gigantic companies. 

Stay tuned over the coming month as we talk to Korean entrepreneurs. 

You can follow our updates @technodechina for new stories in the series.

 

Entering a new market, especially one with a different language than yours, is not easy. 

All of your content needs to be expressed as naturally as possible. 

Finding the right words and expressions to accurately delivery your brand’s image and message is no easy task. 

Indeed, no matter how much time is put into crafting your content, 

fatal mistakes with awkward or incorrect translations are difficult to avoid.

 

That is exactly the challenge that Twinword hopes to solve 

by using natural language processing to make optimal language choices.

 

Since much of the Internet is based around search engine discovery, 

getting your keyword right is hugely important. 

Founded in 2012, Twinword combines data science 

and SEO/keyword research to deliver high quality keyword results for any business 

by extracting word associations and word relationships.

 

In the beginning of November, they released a new product called Twinword.Ideas.

 

“For those working in marketing industry in US are very keen to find relevant keywords 

and have had to pay a huge cost to advertisement companies for this role. 

Now, they can use Twinword.Ideas for that.” says Kono Kim, 

the founder of Twinword and a PhD candidate in natural language processing. 

On the other hand, Twinword also helps Korean and Chinese companies struggling to grab US consumers.

 

It is important to note that Twinword.Ideas is not merely a tool providing keywords.

 

“There already are a lot of startups providing similar service 

and Google Keyword Planner is doing this even for free”, says Kono.

 

Although these normal keyword research tools provides you 

with a long list of supposedly relevant keywords. 

But, this list is calculated purely from big data, 

it is very raw, leaving users to actually check one by one for relevance.

 

“Our technology provides other ways to play with that list.

We do this through a technology called semantic sourcing 

which basically reprioritizes the order of words. 

We let the users catch the words that more specifically fits their demand and intent”, Kono said.

 

There are two different features to realize this goal. 

The first one is User Intent; this filters keywords by the intent users have when searching between Know, Do, Buy, Local, and Web. 

For example, if the user chose ‘Buy’, 

only transaction-related keywords and buying-behavior related keywords will show up.

 

Another feature is Target Relevance. 

By freely entering the important element in keywords, 

the order of words changes to be more relevant. 

So, if I write ‘price’, then words that are related to price are put in higher ranks.

 

Considering that it has only been three weeks since Twinword.Ideas launched, 

it is impressive that Twinword.Ideas has been achieving more than 5 percent increase 

every week regarding user acquisition and traffic. 

And they have already established partnerships 

with US ad management solution platforms to integrate Twinword.Ideas keyword research tool.

 

“We are also close to partnering with SEO service platforms specialized in Chinese. 

So, in the future, as our existing clients want to expand their service to Chinese websites, 

we will be ready to provide that service as well”, says Kono. 

“Our goal is to assist companies in better understanding their consumers. 

We set up keyword strategy, utilize keywords on contents, validate traffic and results, and then at last, verify 

which keyword actually attracted their potential customers. It is a comprehensive cycle that we manage.”

 

Twinword is supported by K-ICT Born2Global Center

a major Korean government agency under the Ministry of Science, 

ICT and Future Planning (MSIP).



http://technode.com/2016/11/28/this-company-uses-nlp-to-find-the-right-keyword/



 

Image credit: Twinword

 

This is the ninth post in our series: Discover Korea’s Tech, 

where we will talk to a mix of Korean startup entrepreneurs who stood their own ground with their technology, 

in Korea’s economy notoriously dominated by gigantic companies. 

Stay tuned over the coming month as we talk to Korean entrepreneurs. 

You can follow our updates @technodechina for new stories in the series.

 

Entering a new market, especially one with a different language than yours, is not easy. 

All of your content needs to be expressed as naturally as possible. 

Finding the right words and expressions to accurately delivery your brand’s image and message is no easy task. 

Indeed, no matter how much time is put into crafting your content, 

fatal mistakes with awkward or incorrect translations are difficult to avoid.

 

That is exactly the challenge that Twinword hopes to solve 

by using natural language processing to make optimal language choices.

 

Since much of the Internet is based around search engine discovery, 

getting your keyword right is hugely important. 

Founded in 2012, Twinword combines data science 

and SEO/keyword research to deliver high quality keyword results for any business 

by extracting word associations and word relationships.

 

In the beginning of November, they released a new product called Twinword.Ideas.

 

“For those working in marketing industry in US are very keen to find relevant keywords 

and have had to pay a huge cost to advertisement companies for this role. 

Now, they can use Twinword.Ideas for that.” says Kono Kim, 

the founder of Twinword and a PhD candidate in natural language processing. 

On the other hand, Twinword also helps Korean and Chinese companies struggling to grab US consumers.

 

It is important to note that Twinword.Ideas is not merely a tool providing keywords.

 

“There already are a lot of startups providing similar service 

and Google Keyword Planner is doing this even for free”, says Kono.

 

Although these normal keyword research tools provides you 

with a long list of supposedly relevant keywords. 

But, this list is calculated purely from big data, 

it is very raw, leaving users to actually check one by one for relevance.

 

“Our technology provides other ways to play with that list.

We do this through a technology called semantic sourcing 

which basically reprioritizes the order of words. 

We let the users catch the words that more specifically fits their demand and intent”, Kono said.

 

There are two different features to realize this goal. 

The first one is User Intent; this filters keywords by the intent users have when searching between Know, Do, Buy, Local, and Web. 

For example, if the user chose ‘Buy’, 

only transaction-related keywords and buying-behavior related keywords will show up.

 

Another feature is Target Relevance. 

By freely entering the important element in keywords, 

the order of words changes to be more relevant. 

So, if I write ‘price’, then words that are related to price are put in higher ranks.

 

Considering that it has only been three weeks since Twinword.Ideas launched, 

it is impressive that Twinword.Ideas has been achieving more than 5 percent increase 

every week regarding user acquisition and traffic. 

And they have already established partnerships 

with US ad management solution platforms to integrate Twinword.Ideas keyword research tool.

 

“We are also close to partnering with SEO service platforms specialized in Chinese. 

So, in the future, as our existing clients want to expand their service to Chinese websites, 

we will be ready to provide that service as well”, says Kono. 

“Our goal is to assist companies in better understanding their consumers. 

We set up keyword strategy, utilize keywords on contents, validate traffic and results, and then at last, verify 

which keyword actually attracted their potential customers. It is a comprehensive cycle that we manage.”

 

Twinword is supported by K-ICT Born2Global Center

a major Korean government agency under the Ministry of Science, 

ICT and Future Planning (MSIP).



http://technode.com/2016/11/28/this-company-uses-nlp-to-find-the-right-keyword/



 

Image credit: Twinword

 

This is the ninth post in our series: Discover Korea’s Tech, 

where we will talk to a mix of Korean startup entrepreneurs who stood their own ground with their technology, 

in Korea’s economy notoriously dominated by gigantic companies. 

Stay tuned over the coming month as we talk to Korean entrepreneurs. 

You can follow our updates @technodechina for new stories in the series.

 

Entering a new market, especially one with a different language than yours, is not easy. 

All of your content needs to be expressed as naturally as possible. 

Finding the right words and expressions to accurately delivery your brand’s image and message is no easy task. 

Indeed, no matter how much time is put into crafting your content, 

fatal mistakes with awkward or incorrect translations are difficult to avoid.

 

That is exactly the challenge that Twinword hopes to solve 

by using natural language processing to make optimal language choices.

 

Since much of the Internet is based around search engine discovery, 

getting your keyword right is hugely important. 

Founded in 2012, Twinword combines data science 

and SEO/keyword research to deliver high quality keyword results for any business 

by extracting word associations and word relationships.

 

In the beginning of November, they released a new product called Twinword.Ideas.

 

“For those working in marketing industry in US are very keen to find relevant keywords 

and have had to pay a huge cost to advertisement companies for this role. 

Now, they can use Twinword.Ideas for that.” says Kono Kim, 

the founder of Twinword and a PhD candidate in natural language processing. 

On the other hand, Twinword also helps Korean and Chinese companies struggling to grab US consumers.

 

It is important to note that Twinword.Ideas is not merely a tool providing keywords.

 

“There already are a lot of startups providing similar service 

and Google Keyword Planner is doing this even for free”, says Kono.

 

Although these normal keyword research tools provides you 

with a long list of supposedly relevant keywords. 

But, this list is calculated purely from big data, 

it is very raw, leaving users to actually check one by one for relevance.

 

“Our technology provides other ways to play with that list.

We do this through a technology called semantic sourcing 

which basically reprioritizes the order of words. 

We let the users catch the words that more specifically fits their demand and intent”, Kono said.

 

There are two different features to realize this goal. 

The first one is User Intent; this filters keywords by the intent users have when searching between Know, Do, Buy, Local, and Web. 

For example, if the user chose ‘Buy’, 

only transaction-related keywords and buying-behavior related keywords will show up.

 

Another feature is Target Relevance. 

By freely entering the important element in keywords, 

the order of words changes to be more relevant. 

So, if I write ‘price’, then words that are related to price are put in higher ranks.

 

Considering that it has only been three weeks since Twinword.Ideas launched, 

it is impressive that Twinword.Ideas has been achieving more than 5 percent increase 

every week regarding user acquisition and traffic. 

And they have already established partnerships 

with US ad management solution platforms to integrate Twinword.Ideas keyword research tool.

 

“We are also close to partnering with SEO service platforms specialized in Chinese. 

So, in the future, as our existing clients want to expand their service to Chinese websites, 

we will be ready to provide that service as well”, says Kono. 

“Our goal is to assist companies in better understanding their consumers. 

We set up keyword strategy, utilize keywords on contents, validate traffic and results, and then at last, verify 

which keyword actually attracted their potential customers. It is a comprehensive cycle that we manage.”

 

Twinword is supported by K-ICT Born2Global Center

a major Korean government agency under the Ministry of Science, 

ICT and Future Planning (MSIP).



http://technode.com/2016/11/28/this-company-uses-nlp-to-find-the-right-keyword/



 

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