PDFMiner Extraction for Single Words - LTText LTTextBox

I am generating word x,y coordinates with PDFMiner in the below example, however the results are on a line by line basis. How can I split each word from another word, rather splitting groups of words line by line (see example below). I have tried several of the arguments in the PDFMiner tutorial. LTTextBox and LTText were both tried. Moreover, I cannot use beginning and end offsets normally used in text analytics.

This PDF is a good example, this is used in the code below.

http://www.africau.edu/images/default/sample.pdf

from pdfminer.layout import LAParams, LTTextBox, LTText
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager
from pdfminer.converter import PDFPageAggregator

#Imports Searchable PDFs and prints x,y coordinates
fp = open('C:\sample.pdf', 'rb')
manager = PDFResourceManager()
laparams = LAParams()
dev = PDFPageAggregator(manager, laparams=laparams)
interpreter = PDFPageInterpreter(manager, dev)
pages = PDFPage.get_pages(fp)

for page in pages:
    print('--- Processing ---')
    interpreter.process_page(page)
    layout = dev.get_result()
    for lobj in layout:
        if isinstance(lobj, LTText):
            x, y, text = lobj.bbox[0], lobj.bbox[3], lobj.get_text()
            print('At %r is text: %s' % ((x, y), text))

This returns the x,y coordinates for the searchable PDF as demonstrated below:

--- Processing ---
At (57.375, 747.903) is text: A Simple PDF File
At (69.25, 698.098) is text: This is a small demonstration .pdf file -
At (69.25, 674.194) is text: just for use in the Virtual Mechanics tutorials. More text. And more 
 text. And more text. And more text. And more text.

Wanted result (the coordinates are proxy for demonstration):

--- Processing ---
At (57.375, 747.903) is text: A
At (69.25, 698.098) is text: Simple
At (69.25, 674.194) is text: PDF
At (69.25, 638.338) is text: File

from PDFMiner Extraction for Single Words - LTText LTTextBox