TL; DR
We will create an expert search engine by utilizing the dark data that sleeps in the company and the data related to meetings. Such a guy
This will allow you to find an in-house expert and a contact path to that expert.
Jitahara is often said to have work style reforms.
Jitahara: Forcing employees to leave the company, such as "Don't work overtime" or "Return on time", without specific measures to reduce overtime hours.
There is. Serious people will return as they were told ~~ You will have to take it home and work overtime. ** That's stupid! !! !! ** **
According to Asahi Shimbun
Loss of wasteful meetings at large companies: 670,000 hours a year and 1.5 billion yen
That's right. I will listen to it straightforwardly.
** Can you reduce meetings? ** ** ** If we can reduce by 1.5 billion yen, shouldn't we be rewarded as much as Mr. Ghosn? ** **
The world is full of so much know-how! !! !! !!
But why doesn't it change over the years? .. .. .. .. Personally, after all, I don't think I'm serious about reducing the number of meetings and time. In short, the know-how that comes out from google is just a blunder.
Even if it is a venture, if the scale exceeds 300 people *, the things that each employee can do will be limited.
That doesn't mean you're not doing anything. Instead of reducing the number of meetings without thinking (abuse) as is done in your company or my company, let's take advantage of it ** even a little.
As an issue that tends to occur in an organization where the number of employees including the group exceeds a certain number,
What's the matter? There is, right?
So, let's set this as an issue to be solved.
Isn't it accumulated in vain and is the first in Dark Data? I will try to utilize the conference data that seems to be.
Dark data Refers to "data that may create value within a company but is not utilized"
It is not used because it is only accumulated. Even if I googled, there were no examples of its use. What a waste.
Now let's consider the characteristics of conference data.
There are some disadvantages, but ... let's try it first!
For more information, please see here [https://boomin.yokohama/archives/1619)
It's been long, so see here.
It's been long, so see here.
Vue + Vuex + [Vuetify](https://vuetifyjs.com/ja Developed using /).
If the home screen is dull, some people may just go home. So, I did my best to ** feel cool on my own basis ** (misallocation)
Select Keyword Search from the left pane menu to search for people by word.
To! If you search for the word machine learning, you will find ** the Minister of Education, Culture, Sports, Science and Technology **. By the way, AI looks like this.
In addition, the color is a color for each cluster by clustering people who have similar remarks to some extent. It might have been better to set it by political party here, but it's ** annoying ** so I'll leave it as it is.
Next is the connection search. From Member's Search, search for Prime Minister Abe's connections (people with similar remarks here).
I see. .. .. .. (When I looked at this in the parliamentary minutes data, I didn't get any impressions.) I'm sure it would be a little interesting if we could feed the actual meeting data in-house. .. .. ..
It's finally time to search for connections (what I wanted to do the most). Then Prime Minister Abe and his sword? Let's examine the connection with Finance Minister Taro Aso.
Based on the content of the remarks, Mr. Toshio Beppu is sandwiched on the way. This area depends on the trained model, so I'll leave it for the time being.
Next, let's examine the connection between Prime Minister Abe and Representative Taro Yamamoto. (Because he was a member of parliament who came up with something)
On the way, three people are caught. Is that so?
Since there are many words that can be searched and many people are targeted, validation is performed before issuing a search query. However, it is difficult to know what kind of word is OK, so when you start typing a word, we have implemented a function to display search word candidates.
Now you can search for any word, but you can rest assured!
What I thought about making so far is that ** UX design and UI design are important **. .. .. ..
Preparation of learning data, cleansing, morphological analysis, machine learning, and API development were all not that difficult. I think it's because the goal was clear as it was.
However, I started to make the front end without having a clear image, so I repeated that it was neither uh nor uh. Thanks to that, it's hard to feel that the source code isn't cool either. .. .. ..
I don't think this screen is good for me, but I'm not sure what to do with it.
Here, I showed the screen based on the minutes of the Diet, but I decided to use the learning data for the meeting data of my company (without permission). I think that you will receive various opinions, so please take them positively.
That? Who knows this? Oh, I'm lucky to know the connection if I search with this YO!
Everyone thinks
Does this person do this kind of work? Then, let's talk a little and try to brainstorm the idea of the project!
I would be happy if you think about it.