abacus | lucene based facet library

I have a pandas dataframe column with strings that look like

'2fvRE-Ku89lkRVJ44QQFN ABACUS LABS, INC'

and I want to convert it to look like

'ABACUS LABS, INC'.

My piece code :

Please check this api: https://api.github.com/emojis

This is part of the response:

I'm writing a recursive backtracking search to find anagrams for a phrase. For the first step, I'm trying to filter out all the wrong words from a dictionary before I feed it to the recursive algorithm.

The dictionary file looks like this:

I am trying to unmarshall an XML into Java POJO using JAXB, all elements are getting unmarshalled fine except for the lists(listId1 and listId2), following is the xml, the pojo classes and the business class.

I'm trying to import a load of data into a sub fields of a repeater field (mortgage_providers) using file field (dd_csv) to upload the file to a post and return an array. Then loop through each row with PHP and update the repeater fields. I have tried the following but I can't seem to get it to work.

I have two dataframes that I want to combine.

**I am new in typescript when I compile my code. I am getting No overload matches this call error. what I do resolve this problem If there some change needed please let me know **
Datepicker.tsx

Information

I have a table which lists verbs & adjectives. I also have a table which lists nouns. And my third table is our search field.

What do I want to do?

I want to search that verbs + adjectives in our search field table. So I want to find verb + noun or adjective + noun

Examples

We have records on our search field table:

1. buildawall
2. redtree
3. countonyou
4. purchaseanapple

Conclusion

So I have that words in my verbs + adjectives table and nouns table (build,wall,red,tree,purchase,apple,count,you) How can I find them in correct order by my nouns and adjective + verbs tables? What I mean by correct order is it should be verb + noun or adjective + noun

Ps: You know sometimes we need prepositions in english. But I don't mind them in that search. To don't mind the prepositions these types of results are correct for me:

verb + (any character(s)) + noun

adjective + (any character(s)) + noun

What I've tried?

Well, I've tried a sql query:

I'm using Spark 2.3.1 and I'm performing NLP in spark when I print the type of RDD it shows and when executing

rdd.collect()

command on PipelineRDD it's output is

['embodiment present invention include pairing two wireless device placing least one two device pairing mode performing least one pairing motion event least one wireless device satisfy least one pairing condition detecting satisfaction least one pairing condition pairing two wireless device response detecting satisfaction least one pairing condition numerous aspect provided', 'present invention relates wireless communication system specifically present invention relates method transmitting control information pucch wireless communication system apparatus comprising step of obtaining plurality second modulation symbol stream corresponding plurality scfdma single carrier frequency division multiplexing symbol diffusing plurality first modulation symbol stream form first modulation symbol stream corresponding scfdma symbol within first slot obtaining plurality complex symbol stream performing dft discrete fourier transform precoding process plurality second modulation symbol stream transmitting plurality complex symbol stream pucch wherein plurality second modulation symbol stream scrambled scfdma symbol level dog church aardwolf abacus']

I want to create a data frame like this to add every word into rows of the data frame.