package owl

  1. Overview
  2. Docs
package owl
Legend:
Library
Module
Module type
Parameter
Class
Class type

NLP: Corpus module

Type definition
type t

Type of a text corpus.

Query corpus
val length : t -> int

Return the size of the corpus, i.e. number of documents.

val get : t -> int -> string

Return the ith document in the corpus.

val get_tok : t -> int -> int array

Return the ith tokenised document in the corpus.

val get_uri : t -> string

Return the path of the corpus.

val get_bin_uri : t -> string

Return the path of the binary format of corpus.

val get_bin_fh : t -> Stdlib.in_channel

Return the file handle of the binary formation of corpus.

val get_tok_uri : t -> string

Return the path of tokenised corpus.

val get_tok_fh : t -> Stdlib.in_channel

Return the file handle of the tokenised corpus.

val get_vocab_uri : t -> string

Return the path of vocabulary file associated with the corpus.

val get_vocab : t -> Owl_nlp_vocabulary.t

Return the vocabulary associated with the corpus.

val get_docid : t -> int array

Return a list of document ids which are mapped back to the original file where the corpus is built.

Iteration functions
val next : t -> string

Return the next document in the corpus.

val next_tok : t -> int array

Return the next tokenised document in the corpus.

val iteri : (int -> string -> unit) -> t -> unit

Iterate all the documents in the corpus, the index (line number) is passed in.

val iteri_tok : (int -> int array -> unit) -> t -> unit

Iterate the tokenised documents in the corpus, the index (line number) is passed in.

val mapi : (int -> string -> 'a) -> t -> 'a array

Map all the documents in a corpus into another array. The index (line number) is passed in.

val mapi_tok : (int -> 'a -> 'b) -> t -> 'b array

Map all the tokenised ocuments in a corpus into another array. The index (line number) is passed in.

val next_batch : ?size:int -> t -> string array

Return the next batch of documents in a corpus as a string array. The default ``size`` is 100.

val next_batch_tok : ?size:int -> t -> int array array

Return the next batch of tokenised documents in a corpus as a string array. The default ``size`` is 100.

val reset_iterators : t -> unit

Reset the iterator to the begining of the corpus.

Core functions
val build : ?docid:int array -> ?stopwords:(string, 'a) Stdlib.Hashtbl.t -> ?lo:float -> ?hi:float -> ?vocab:Owl_nlp_vocabulary.t -> ?minlen:int -> string -> t

This function builds up a corpus of type ``t`` from a given raw text corpus. We assume that each line in the raw text corpus represents a document.

Parameters: * ``?docid``: passed in ``docid`` can be used for tracking back to the original corpus, but this is not compulsory. * ``?stopwords``: stopwords used in building vocabulary. * ``?lo``: any word below this lower bound of the frequency is removed from vocabulary. * ``?hi``: any word above this upper bound of the frequency is removed from vocabulary. * ``?vocab``: an optional vocabulary, if it is not passed, the vocabulary is built from current corpus. * ``?(minlen=10)``: threshold of the document length, any document shorter than this is removed from the corpus. * ``fname``: the file name of the raw text corpus.

val tokenise : t -> string -> int array

``tokenise corpus doc`` tokenises the document ``doc`` using the ``corpus`` and its associated vocabulary.

val unique : string -> string -> int array

Remove the duplicates in a text corpus, the ids of the removed files are returned.

val simple_process : string -> string

Function for simple pre-processing a given string.

val preprocess : (string -> bytes) -> string -> string -> unit

``preprocess f input_file output_file`` pre-processes a given file ``input_file`` with the passed in function ``f`` then saves the output to ``output_file``.

E.g., you can plug in ``simple_process`` function to clean up the text. Note this function will not change the number of lines in a corpus.

I/O functions
val save : t -> string -> unit

Serialise the corpus and save it to a file of given name.

val load : string -> t

Load a serialised corpus from a file.

val save_txt : t -> string -> unit

Convert the tokenised corpus back to a text file

val to_string : t -> string

The string representation of a corpus, contains the summary of a corpus.

val print : t -> unit

Pretty print the summary of a text corpus.

Helper functions
val create : string -> int array -> int array -> Stdlib.in_channel option -> Stdlib.in_channel option -> Owl_nlp_vocabulary.t option -> int -> int array -> t

```create uri bin_ofs tok_ofs bin_fh tok_fh vocab minlen docid` wraps up the corpus into a record of type ``t``.

val reduce_model : t -> t

Set some fields to ``None`` so it can be safely serialised.

val cleanup : t -> unit

Close the opened file handles associated with the corpus.

OCaml

Innovation. Community. Security.

GitHub Discord Twitter Peertube RSS
About
Changelog Releases Industrial Users Academic Users Why OCaml
Ecosystem
Packages Community Events OCaml Planet Jobs
Resources
Install OCaml Get Started Platform Tools Language Manual Standard Library API Books Exercises Papers OCaml Playground Logo
Policies
Carbon Footprint Governance Privacy Code of Conduct