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Moved from TextAnalysis
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Diff for: ‎.github/workflows/CompatHelper.yml

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name: CompatHelper
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on:
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schedule:
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- cron: 23 23 * * *
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workflow_dispatch:
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jobs:
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CompatHelper:
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runs-on: ubuntu-latest
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steps:
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- name: Pkg.add("CompatHelper")
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run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
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- name: CompatHelper.main()
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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COMPATHELPER_PRIV: ${{ secrets.DOCUMENTER_KEY }}
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run: julia -e 'using CompatHelper; CompatHelper.main()'

Diff for: ‎.github/workflows/TagBot.yml

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name: TagBot
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on:
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schedule:
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- cron: 49 23 * * *
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jobs:
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TagBot:
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runs-on: ubuntu-latest
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steps:
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- uses: JuliaRegistries/TagBot@v1
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with:
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token: ${{ secrets.GITHUB_TOKEN }}

Diff for: ‎.gitignore

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.DS_Store
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docs/build
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Manifest.toml

Diff for: ‎Artifacts.toml

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[sentiment_model]
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git-tree-sha1 = "b7b8c228827945936e76c895729682d081ac152c"
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[[sentiment_model.download]]
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sha256 = "5dcb031eccf01bb0b2d074281140679683f73603a54caa79941a1df1c8a6d70d"
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url = "https://github.com/JuliaText/TextAnalysis.jl/releases/download/v0.3.0//sentiment.tar.gz"

Diff for: ‎Project.toml

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name = "TextAnalysis"
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uuid = "a2db99b7-8b79-58f8-94bf-bbc811eef33d"
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name = "TextModels"
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uuid = "77b9cbda-2a23-51df-82a3-24144d1cd378"
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license = "MIT"
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desc = "Julia package for text analysis"
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version = "0.7.0"
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version = "0.9.0"
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[deps]
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BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
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BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
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DataDeps = "124859b0-ceae-595e-8997-d05f6a7a8dfe"
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DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
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Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
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JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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Languages = "8ef0a80b-9436-5d2c-a485-80b904378c43"
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Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
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Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
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Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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TextAnalysis = "a2db99b7-8b79-58f8-94bf-bbc811eef33d"
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Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
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WordTokenizers = "796a5d58-b03d-544a-977e-18100b691f6e"
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[compat]
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BSON = ">= 0.2.5"
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Flux = "< 0.10"
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julia = "1"
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TextAnalysis = "0.9"
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julia = "1.3"
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[extras]
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

Diff for: ‎README.md

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# TextAnalysis
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# TextModels
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A Julia package for working with text.
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[![Travis](https://travis-ci.org/JuliaText/TextAnalysis.jl.svg?branch=master)](https://travis-ci.org/JuliaText/TextAnalysis.jl)
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[![Appveyor](https://ci.appveyor.com/api/projects/status/aviks/textanalysis-jl?svg=true)](https://ci.appveyor.com/project/aviks/textanalysis-jl)
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<!--[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliatext.github.io/TextAnalysis.jl/stable) -->
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[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://juliatext.github.io/TextAnalysis.jl/dev)
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[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://juliatext.github.io/TextAnalysis.jl/latest)
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[![Travis](https://travis-ci.org/JuliaText/TextAnalysis.jl.svg?branch=master)](https://travis-ci.org/JuliaText/TextModels.jl)
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[![Appveyor](https://ci.appveyor.com/api/projects/status/aviks/textanalysis-jl?svg=true)](https://ci.appveyor.com/project/aviks/textmodels-jl)
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[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliahub.com/docs/TextModels)
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Please see the detailed `manual` and `API Documentation` for the linked above. The package also comes with a set of `docstrings` for offline documentation access.
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## Introduction
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TextAnalysis provides support for standard tools and models for working with textual data and natural languages in the Julia langauges. Please see the [documentation](https://juliatext.github.io/TextAnalysis.jl/latest) for more.
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The TextModels package enhances the TextAnalysis package with end-user focussed, practical natural language models, typically based on neural networks (in this case, [Flux](https://fluxml.ai/)). Please see the [documentation](https://juliatext.github.io/TextAnalysis.jl/latest) for more.
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- **Features** : Refer to NEWS.md for the latest features.
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- **License** : [MIT License](https://github.com/JuliaText/TextAnalysis.jl/blob/master/LICENSE.md)
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## Installation
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```julia
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pkg> add TextAnalysis
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pkg> add TextModels
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```
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You may want to work on the master branch for the latest features (as mentioned in NEWS.md).
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```julia
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pkg> add TextAnalysis#master
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```
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Some of the models require data files to run, which are downloaded on demand. Therefore, internet access is required at runtime for certain functionality in this package.
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## Contributing and Reporting Bugs
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Diff for: ‎deps/.gitignore

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Diff for: ‎docs/Project.toml

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[deps]
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Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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TextAnalysis = "a2db99b7-8b79-58f8-94bf-bbc811eef33d"
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TextModels = "77b9cbda-2a23-51df-82a3-24144d1cd378"

Diff for: ‎docs/make.jl

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using Documenter, TextAnalysis
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using Documenter, TextModels
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makedocs(
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modules = [TextAnalysis],
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modules = [TextModels],
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sitename = "TextAnalysis",
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format = Documenter.HTML(
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canonical = "https://juliatext.github.io/TextAnalysis.jl/stable/",
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#prettyurls = false,
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),
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assets = ["assets/custom.css", "assets/custom.js", "assets/favicon.ico"],
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pages = [
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"Home" => "index.md",
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"Documents" => "documents.md",
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"Corpus" => "corpus.md",
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"Features" => "features.md",
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"Semantic Analysis" => "semantic.md",
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"Classifier" => "classify.md",
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"Extended Example" => "example.md",
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"Evaluation Metrics" => "evaluation_metrics.md",
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"Conditional Random Fields" => "crf.md",
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"Named Entity Recognition" => "ner.md",
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"ULMFiT" => "ULMFiT.md",
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"Statistical Language Model" => "LM.md",
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"API References" => "APIReference.md"
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],
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)
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deploydocs(repo = "github.com/JuliaText/TextAnalysis.jl.git")

Diff for: ‎docs/src/APIReference.md

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# API References
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```@autodocs
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Modules = [TextAnalysis]
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Modules = [TextModels, TextModels.ULMFiT]
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Order = [:function, :type]
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```

Diff for: ‎docs/src/index.md

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## Preface
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The TextModels package enhances the TextAnalysis package with end-user focussed, practical natural language models, typically based on neural networks (in this case, [Flux](https://fluxml.ai/))
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## Installation
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The TextModels package can be installed using Julia's package manager:
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Pkg.add("TextModels")
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Some of the models require data files to run, which are downloaded on demand. Therefore, internet access is required at runtime for certain functionality in this package.

Diff for: ‎src/TextAnalysis.jl

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