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esperanto-analyzer | syntactic analysis of Esperanto sentences | Natural Language Processing library

 by   fidelisrafael Python Version: 0.0.3 License: BSD-2-Clause

 by   fidelisrafael Python Version: 0.0.3 License: BSD-2-Clause

kandi X-RAY | esperanto-analyzer Summary

esperanto-analyzer is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. esperanto-analyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install esperanto-analyzer' or download it from GitHub, PyPI.
The aim of this project is to create one tool that can read and grammarly classify Esperanto sentences. The first part of project consists in Morphological Analyzes of Esperanto words, the next step is to create a Syntactical Analyzer for the language as well.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • esperanto-analyzer has a low active ecosystem.
  • It has 17 star(s) with 1 fork(s). There are 5 watchers for this library.
  • It had no major release in the last 12 months.
  • esperanto-analyzer has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of esperanto-analyzer is 0.0.3
esperanto-analyzer Support
Best in #Natural Language Processing
Average in #Natural Language Processing
esperanto-analyzer Support
Best in #Natural Language Processing
Average in #Natural Language Processing

quality kandi Quality

  • esperanto-analyzer has 0 bugs and 0 code smells.
esperanto-analyzer Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
esperanto-analyzer Quality
Best in #Natural Language Processing
Average in #Natural Language Processing

securitySecurity

  • esperanto-analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • esperanto-analyzer code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
esperanto-analyzer Security
Best in #Natural Language Processing
Average in #Natural Language Processing
esperanto-analyzer Security
Best in #Natural Language Processing
Average in #Natural Language Processing

license License

  • esperanto-analyzer is licensed under the BSD-2-Clause License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
esperanto-analyzer License
Best in #Natural Language Processing
Average in #Natural Language Processing
esperanto-analyzer License
Best in #Natural Language Processing
Average in #Natural Language Processing

buildReuse

  • esperanto-analyzer releases are not available. You will need to build from source code and install.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 3089 lines of code, 570 functions and 76 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
esperanto-analyzer Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
esperanto-analyzer Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
Top functions reviewed by kandi - BETA

kandi has reviewed esperanto-analyzer and discovered the below as its top functions. This is intended to give you an instant insight into esperanto-analyzer implemented functionality, and help decide if they suit your requirements.

  • Return True if the word has plural
    • Return True if there is a plural value
    • Match the raw word
  • Validate the word
    • Validate content
  • Run morphological analysis
    • Format table data
    • Display the output of the given analyzer
    • Print the results to a table
  • Split a sentence
    • Clean a sentence
  • Run Flask application
    • Return an instance of MorphologicalAnalyzes API

Get all kandi verified functions for this library.

Get all kandi verified functions for this library.

esperanto-analyzer Key Features

Morphological and syntactic analysis of Esperanto sentences

esperanto-analyzer Examples and Code Snippets

Community Discussions

Trending Discussions on Natural Language Processing
  • number of matches for keywords in specified categories
  • Apple's Natural Language API returns unexpected results
  • Tokenize text but keep compund hyphenated words together
  • Create new boolean fields based on specific bigrams appearing in a tokenized pandas dataframe
  • ModuleNotFoundError: No module named 'milvus'
  • Which model/technique to use for specific sentence extraction?
  • Assigning True/False if a token is present in a data-frame
  • How to calculate perplexity of a sentence using huggingface masked language models?
  • Mapping values from a dictionary's list to a string in Python
  • What are differences between AutoModelForSequenceClassification vs AutoModel
Trending Discussions on Natural Language Processing

QUESTION

number of matches for keywords in specified categories

Asked 2022-Apr-14 at 13:32

For a large scale text analysis problem, I have a data frame containing words that fall into different categories, and a data frame containing a column with strings and (empty) counting columns for each category. I now want to take each individual string, check which of the defined words appear, and count them within the appropriate category.

As a simplified example, given the two data frames below, i want to count how many of each animal type appear in the text cell.

df_texts <- tibble(
  text=c("the ape and the fox", "the tortoise and the hare", "the owl and the the 
  grasshopper"),
  mammals=NA,
  reptiles=NA,
  birds=NA,
  insects=NA
)

df_animals <- tibble(animals=c("ape", "fox", "tortoise", "hare", "owl", "grasshopper"),
           type=c("mammal", "mammal", "reptile", "mammal", "bird", "insect"))

So my desired result would be:

df_result <- tibble(
  text=c("the ape and the fox", "the tortoise and the hare", "the owl and the the 
  grasshopper"),
  mammals=c(2,1,0),
  reptiles=c(0,1,0),
  birds=c(0,0,1),
  insects=c(0,0,1)
)

Is there a straightforward way to achieve this keyword-matching-and-counting that would be applicable to a much larger dataset?

Thanks in advance!

ANSWER

Answered 2022-Apr-14 at 13:32

Here's a way do to it in the tidyverse. First look at whether strings in df_texts$text contain animals, then count them and sum by text and type.

library(tidyverse)

cbind(df_texts[, 1], sapply(df_animals$animals, grepl, df_texts$text)) %>% 
  pivot_longer(-text, names_to = "animals") %>% 
  left_join(df_animals) %>% 
  group_by(text, type) %>% 
  summarise(sum = sum(value)) %>% 
  pivot_wider(id_cols = text, names_from = type, values_from = sum)

  text                                   bird insect mammal reptile
  <chr>                                 <int>  <int>  <int>   <int>
1 "the ape and the fox"                     0      0      2       0
2 "the owl and the the \n  grasshopper"     1      0      0       0
3 "the tortoise and the hare"               0      0      1       1

To account for the several occurrences per text:

cbind(df_texts[, 1], t(sapply(df_texts$text, str_count, df_animals$animals, USE.NAMES = F))) %>% 
  setNames(c("text", df_animals$animals)) %>% 
  pivot_longer(-text, names_to = "animals") %>% 
  left_join(df_animals) %>% 
  group_by(text, type) %>% 
  summarise(sum = sum(value)) %>% 
  pivot_wider(id_cols = text, names_from = type, values_from = sum)

Source https://stackoverflow.com/questions/71871613

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install esperanto-analyzer

Make sure you have python >= 3.7.0 and virtualenv >= 16.0.0 installed:.

Support

Bug reports and pull requests are welcome on GitHub at http://github.com/fidelisrafael/esperanto-analyzer. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

Find more information at:

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Install
  • pip install esperanto-analyzer

Clone
  • https://github.com/fidelisrafael/esperanto-analyzer.git

  • gh repo clone fidelisrafael/esperanto-analyzer

  • git@github.com:fidelisrafael/esperanto-analyzer.git

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