I would like to Google News Search that searches for several terms and eliminates the duplicates.
Google provides several Booleans, but none quite do what I'm after.
Take :: Fiscal cliff, US debt, UK bank exposure, IMF
I want to see results for all of these in the news feed for the past 24 hours, but each searched as if it had been done individually.
Using the "Fiscal cliff" OR "US debt" etc... would do this, but would search for the exact phrase.
Using Fiscal cliff OR US debt etc... also searches for Fiscal debt and US cliff.
I want each of these to work like they would if I searched for them individually giving me all results for each term in the last 24 hours.
Possible?
Parentheses seem to do the trick. I don't see the exact result count in Google News, but I see it in the plain old Google :
"Fiscal cliff" OR "US debt"
About 82,200,000 results
(Fiscal cliff) OR (US debt)
About 358,000,000 results
Related
i am not used to working with excel anymore and there is no VBA available at my workplace.
I have a set of data showing a userID (left) and numbers (right) which indicate a day in december (1 = december 1st to 24 = december 24th)
I figured out how many people participated on specific days, but i'd also like to know what the amount of participations looks like overall (how many people played only 1/24 times, how many people played 24/24 times etc). It's mostly a fun project for work where not much of excel analysis is being done, that's why i'm asking here. Thanks in advance!
I tried a combination of COUNTIF with FREQUENCY but i couldn't figure it out on my own
What about inserting a pivot table?
You can have a look at my example here:
By clicking on the right-arrow (see green rectangle), you can change the properties of the "summing" field and turn it into a "counting" field:
Trying to get campaigns with zero impressions, which seems to be an option in Google Ads but I can't seem to find any documentation on this in BingAds.
The only way I can think of getting around this is to get a list of all active campaigns and then manufacture rows with active campaigns with zero impression and clicks for the date range.
If someone here knows of a better way, it would be much appreciated!
I am using the Bloomberg Excel add-on to retrieve bulk history data for some mutual funds. Specifically, I need to get their dividend history including dividend income, short term capital gains, long term capital gains, etc. I'll list the "dividend frequency" and "dividend type" below that I need.
For the most part, this formula works just fine:
=BDS("FILDX US Equity", "DVD_HIST_ALL", "DVD_START_DT=20080501", "DVD_END_DT=20180301", "Headers=True")
This provides me with all of the data I need for symbol "FILDX US Equity" and it respects the start and end dates.
However, for some symbols I only get about the last 12 month's worth of dividend data returned. Based on my research, if the symbol's dividend history includes a "Dividend Type" of "Daily Accrual" I only get 12 months of data. It does NOT respect my start and end date overrides.
An example would be for symbol "WAPAX US Equity". This symbol has been around for many years (and paying dividends) but BB is only returning the last year's data.
=BDS("WAPAX US Equity", "DVD_HIST_ALL", "DVD_START_DT=20080501", "DVD_END_DT=20180301", "Headers=True")
So, how do I rewrite the BDS formula so that I can get its ENTIRE dividend history? Do I need to override the "frequency" or "type" fields to filter out (or filter in) certain things? Is there a certain periodicityAdjustment or similar that I need?
Here are the frequencies and types I wish to have:
frequency => None, Monthly, Quarter, Semi-Anl, Annual, Irreg
type => Income, Short Term Cap Gain, Long Term Cap Gain, Omitted, Special Cash
Any help would be appreciated.
I am absolutely new to the NER and Extraction and programming in general. I am trying to figure out a way where I can extract due dates and start date of certain documents. Is there a way to do this? A place where I can start? I have been looking around but the problem I run into is the same. Can extract dates but not whether the date is due or post. If it only has 1 date, is it post or due. Stuff like that. Any help would be appreciated.
Example:
"Essay on Medieval Asia was due on September 3rd."
"Your last assignment that was given on April 6th was supposed to be submitted in 10 days."
"The bid is due no later than a month from the date it was posted(today)."
The amount of possibilities to express dates in free text is huge. There are a few solutions:
You can come with a set of regular expressions and try to parse them for yourself.
Another option is to train a supervised sequence classifier like CRF, if you have a document with dates annotated.
A third option, which can have quick results is to use this framework from Facebook research https://github.com/facebookincubator/duckling, it will identify expressions which are dates or time expressions, and it will even normalise them into a single unique date.
Yet another options is ct-parse, based on Duckling but a pure python package to parse time expressions from natural language in German and English.
I have a sports fixture and I want to be able to easily count the number of times each team plays each other (and other assorted things).
Columns are Round, Date, Home Team, Away Team, Venue
Rows are each round entry (eg Round 1 Team A v Team B)
I can't seem to work out the correct way to capture this using a pivot table. Ideally what I want to see is that "Melbourne Victory" plays "Sydney FC" twice (for example). Regardless of home/away.
Second problem would be to see if I added last year's finalists, can I also count have many times each team plays the finalists.
Hope this makes sense. Sorry I can't post an image as I don't have "10 reputation"
It can't seem to be captured using a pivot (by me at least). However with formula's it can be. Using the formula =COUNTIFS. See the example below. In a similar fashion it would be possible to see how many times each team plays last year's finalists. Hope this helps.