gosentiwordnet alternatives and similar packages
Based on the "Natural Language Processing" category.
Alternatively, view gosentiwordnet alternatives based on common mentions on social networks and blogs.
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prose
DISCONTINUED. :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. -
gse
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. -
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universal-translator
:speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules -
locales
:earth_americas: a set of locales generated from the CLDR Project which can be used independently or within an i18n package; these were built for use with, but not exclusive to https://github.com/go-playground/universal-translator -
go-nlp
DISCONTINUED. Utilities for working with discrete probability distributions and other tools useful for doing NLP work. -
segment
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 -
go-localize
i18n (Internationalization and localization) engine written in Go, used for translating locale strings. -
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gotokenizer
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
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README
π¬ GoSentiwordnet
Sentiment analyzer using sentiwordnet lexicon in Go. This library produce sentiment score for each word, including positive, negative, and objective score.
β Installation
First of all, download and install Go 1.14 or higher is required.
Install this library using the go get command:
$ go get github.com/dinopuguh/gosentiwordnet/v2
β‘ Quickstart
package main
import (
"fmt"
goswn "github.com/dinopuguh/gosentiwordnet/v2"
)
func main() {
sa := goswn.New()
scores, exist := sa.GetSentimentScore("love", "v", "2")
if exist {
fmt.Println("π¬ Sentiment score:", scores) // => π¬ Sentiment score: {1 0 0}
}
}
The GetSentimentScore required 3 parameters(word, pos-tag, and word usage):
- Word: the word want to process
- POS tag: part-of-speech tag of the word
- Word usage: 1 for most common usage and a higher number would indicate lesser common usages
π Contributing
If you want to say thank you and/or support the active development of Gosentiwordnet:
- Add a GitHub Star to the project.
- Write a review or tutorial on Medium, Dev.to or personal blog.
- Be a part of our sponsors to support this project.
π» Contributors
- Dino Puguh (initial works)
Open for any pull requests to develop this project.