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MLMA_hate_speech | EMNLP 2019 paper | Dataset library

 by   HKUST-KnowComp Python Version: Current License: MIT

 by   HKUST-KnowComp Python Version: Current License: MIT

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kandi X-RAY | MLMA_hate_speech Summary

MLMA_hate_speech is a Python library typically used in Artificial Intelligence, Dataset, Pytorch applications. MLMA_hate_speech has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
How to run the program.
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Security
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License
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kandi-support Support

  • MLMA_hate_speech has a low active ecosystem.
  • It has 37 star(s) with 3 fork(s). There are 5 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of MLMA_hate_speech is current.
MLMA_hate_speech Support
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MLMA_hate_speech Support
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quality kandi Quality

  • MLMA_hate_speech has 0 bugs and 0 code smells.
MLMA_hate_speech Quality
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MLMA_hate_speech Quality
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securitySecurity

  • MLMA_hate_speech has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • MLMA_hate_speech code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
MLMA_hate_speech Security
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MLMA_hate_speech Security
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license License

  • MLMA_hate_speech is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
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MLMA_hate_speech License
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buildReuse

  • MLMA_hate_speech releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • MLMA_hate_speech saves you 575 person hours of effort in developing the same functionality from scratch.
  • It has 1342 lines of code, 38 functions and 7 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
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MLMA_hate_speech Reuse
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Top functions reviewed by kandi - BETA

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

  • Fit the model .
  • Log a score for a given language .
  • Get data for each language .
  • Load the model .
  • Logs training results to a CSV file
  • Print the label_ids of the given task_id .
  • Generates a csv file containing the generated label_ids .
  • Loads a Lluice network .
  • Removes whitespace from the text .
  • Creates a linear combination of predictions .

MLMA_hate_speech Key Features

Dataset and code of our EMNLP 2019 paper "Multilingual and Multi-Aspect Hate Speech Analysis"

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If you use our dataset, please cite our EMNLP paper:
@inproceedings{ousidhoum-etal-multilingual-hate-speech-2019,
		title = "Multilingual and Multi-Aspect Hate Speech Analysis",
		author = "Ousidhoum, Nedjma
         		and Lin, Zizheng
         		and Zhang, Hongming
        		and Song, Yangqiu
        		and Yeung, Dit-Yan",
			booktitle = "Proceedings of EMNLP",
		year = "2019",
		publisher =	"Association for Computational Linguistics",
}

(You can preview our paper on https://arxiv.org/pdf/1908.11049.pdf)

Community Discussions

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QUESTION

Replacing dataframe value given multiple condition from another dataframe with R

Asked 2022-Apr-14 at 16:16

I have two dataframes one with the dates (converted in months) of multiple survey replicates for a given grid cell and the other one with snow data for each month for the same grid cell, they have a matching ID column to identify the cells. What I would like to do is to replace in the first dataframe, the one with months of survey replicates, the month value with the snow value for that month considering the grid cell ID. Thank you

CellID <- c(1,2,3,4,5,6)
sampl1 <- c("oct", "oct", "oct", "nov", NA, NA)
sampl2 <- c("nov", "nov", "jan", NA, NA, NA)
sampl3 <- c("dec", "dec", "jan", NA, NA, NA)
df1 <- data.frame(CellID, sampl1, sampl2, sampl3)
print(df1)

CellID <- c(1,2,3,4,5,6)
oct <- c(0.1, 0.1, 0.1, 0.1, 0.1, 0.1)
nov <- c(0.4, 0.5, 0.4, 0.5, 0.6, 0.5)
dec <- c(0.6, 0.7, 0.8, 0.7, 0.6, 0.8)
df2 <- data.frame(CellID, oct, nov, dec)
print(df2)

CellID <- c(1,2,3,4,5,6)
sampl1_snow <- c(0.1, 0.1, 0.1, 0.5, NA, NA)
sampl2_snow <- c(0.4, 0.5, 0.9, NA, NA, NA)
sampl3_snow <- c(0.6, 0.7, 1, NA, NA, NA)
df3 <- data.frame(CellID, sampl1_snow, sampl2_snow, sampl3_snow)
print(df3)

ANSWER

Answered 2022-Apr-14 at 14:50
df3 <- df1
df3[!is.na(df1)] <- df2[!is.na(df1)]
#   CellID sampl1 sampl2 sampl3
# 1      1    0.1    0.4    0.6
# 2      2    0.1    0.5    0.7
# 3      3    0.1    0.4    0.8
# 4      4    0.1   <NA>   <NA>
# 5      5   <NA>   <NA>   <NA>
# 6      6   <NA>   <NA>   <NA>

Source https://stackoverflow.com/questions/71873315

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

Vulnerabilities

No vulnerabilities reported

Install MLMA_hate_speech

You can download it from GitHub.
You can use MLMA_hate_speech like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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