mainly wants to do tagging for named entity recognition;
specifically, there are two excel files called A (n row 1 column), B (n row 1 column).
for example, each line in An is a descriptive sentence, and each line in B is an entity name
how to efficiently implement functions similar to the following:
for index,row in A.iterrows ():
row[""]BAask for advice.
if both An and B are big enough, you can put the content of B in the AC automaton, and then use the content matching of A)
feel that this is similar to token parsing.
can use or merge each line of B as a regular expression.
for each row of A to match the above regularities, getting all the matching token
AC automata on the current row through re.finditer is the best choice, which is efficient enough. You can take a look at the https://github.com/vi3k6i5/fl. library, which contains an AC automaton implementation for finding and replacing.
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