Package 'MadanText'

Convert to Data Frame

Description

This function converts the given object to a data frame.

Usage

ASDATA.FRAME(x)

Arguments

x	An object to be converted into a data frame.

Value

A data frame.

Examples

data <- ASDATA.FRAME(matrix(1:4, ncol = 2))

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Persian Text Normalization and Stemming

Description

This function normalizes Persian text by replacing specific characters and applies stemming.

Usage

f3(x)

Arguments

x	A character vector of Persian text.

Value

A character vector of normalized and stemmed text.

Examples

## Not run: 
  text <- c("Persian text here")
  normalized_text <- f3(text)

## End(Not run)

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Filter Data Frame by Document ID

Description

This function filters a data frame by the specified document ID. If the ID is 0, the entire data frame is returned.

Usage

f5(UPIP, I)

Arguments

UPIP	A data frame with a column named 'doc_id'.
I	An integer representing the document ID.

Value

A filtered data frame.

Examples

data <- data.frame(doc_id = 1:5, text = letters[1:5])
filtered_data <- f5(data, 2)

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Extract Token Information from Data Frame

Description

This function extracts token, lemma, and part-of-speech (POS) tag information from a given data frame and compiles them into a new data frame.

Usage

f6(UPIP)

Arguments

UPIP	A data frame containing columns 'token', 'lemma', and 'upos' for tokens, their lemmatized forms, and POS tags respectively.

Value

A data frame with columns 'TOKEN', 'LEMMA', and 'TYPE', each representing token, its lemma, and POS tag.

Examples

data <- data.frame(token = c("running", "jumps"),
                   lemma = c("run", "jump"),
                   upos = c("VERB", "VERB"))
token_info <- f6(data)

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Extract and Count Specific Parts of Speech

Description

This function extracts tokens of a specified part of speech (POS) from the given data frame and counts their frequency.

Usage

f7(UPIP, type)

Arguments

UPIP	A data frame with columns 'upos' (POS tags) and 'lemma' (lemmatized tokens).
type	A string representing the POS to filter (e.g., 'NOUN', 'VERB').

Value

A data frame with frequencies of each lemma for the specified POS.

Examples

data <- data.frame(upos = c('NOUN', 'VERB'), lemma = c('house', 'run'))
noun_freq <- f7(data, 'NOUN')

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Apply Suffix Modifications to Persian Words

Description

This function iteratively applies a series of suffix modifications to a vector of Persian words.

Usage

fun.all.sums(v, TYPE)

Arguments

v	A character vector of Persian words.
TYPE	A vector of suffix types for modification.

Value

A modified character vector.

Examples

## Not run: 
  words <- c("Persian text here")
  modified_words <- fun.all.sums(words, TYPE)

## End(Not run)

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General Persian Suffix Modification

Description

This function modifies Persian words based on a specified suffix type.

Usage

fun.one.sums(v, type)

Arguments

v	A character vector of Persian words.
type	A character string representing the suffix type.

Value

A modified character vector.

Examples

## Not run: 
  words <- c("Persian text here")
  modified_words <- fun.one.sums(words, "Persian text here")

## End(Not run)

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Persian Suffix Modification for 'Persian text here' Suffix

Description

This function modifies Persian words ending with 'Persian text here' suffix.

Usage

fungan(v)

Arguments

v	A character vector of Persian words.

Value

A modified character vector.

Examples

## Not run: 
  words <- c("Persian text here")
  modified_words <- fungan(words)

## End(Not run)

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Persian Suffix Modification

Description

This function modifies Persian words ending with 'Persian text here' suffix.

Usage

fungi(v)

Arguments

v	A character vector of Persian words.

Value

A modified character vector.

Examples

## Not run: 
  words <- c("Persian text here")
  modified_words <- fungi(words)

## End(Not run)

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Modify Persian Words Starting with 'Persian text here'

Description

This function modifies Persian words starting with the prefix 'Persian text here'.

Usage

funmi(v)

Arguments

v	A character vector of Persian words.

Value

A modified character vector.

Examples

## Not run: 
  words <- c("Persian text here")
  modified_words <- funmi(words)

## End(Not run)

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Persian Lemmatization

Description

This function performs lemmatization on a vector of Persian words.

Usage

LEMMA(Y, TYPE)

Arguments

Y	A character vector of Persian words.
TYPE	A vector of suffix types for modification.

Value

A vector of lemmatized Persian words.

Examples

## Not run: 
  words <- c("Persian text here")
  lemmatized_words <- LEMMA(words, TYPE)

## End(Not run)

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Calculate Pointwise Mutual Information (PMI)

Description

This function calculates the PMI for collocations in a given text data.

Usage

PMI(x)

Arguments

x	A data frame with columns 'token' and 'doc_id'.

Value

A data frame of keywords with their PMI scores.

Examples

data <- data.frame(token = c("word1", "word2"), doc_id = c(1, 1))
pmi_scores <- PMI(data)

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Server Logic for MadanText Shiny Application

Description

This function contains the server-side logic for the MadanText application. It handles user inputs, processes data, and creates outputs to be displayed in the UI.

Usage

server(input, output)

Arguments

input	List of Shiny inputs.
output	List of Shiny outputs.

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Persian Suffixes

Description

A vector of common Persian suffixes used for text processing.

Usage

TYPE

Format

An object of class character of length 39.

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User Interface for MadanText

Description

This function creates a user interface for the MadanText Shiny application. It includes various input and output widgets for file uploads, text input, and visualization.

Usage

ui

Format

An object of class shiny.tag.list (inherits from list) of length 4.

Value

A Shiny UI object.

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