cloudmersive-nlp-api-client
Advanced tools
The_powerful_Natural_Language_Processing_APIs__v2_let_you_perform_part_of_speech_tagging_entity_identification_sentence_parsing_and_much_more_to_help_you_understand_the_meaning_of_unstructured_text_
Readme
CloudmersiveNlpApiClient - JavaScript client for cloudmersive-nlp-api-client The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text. Cloudmersive NLP API provides advanced machine learning-based natural language processing to detect language, sentiment, meaning and intent of text content.
To publish the library as a npm, please follow the procedure in "Publishing npm packages".
Then install it via:
npm install cloudmersive-nlp-api-client --save
To use the library locally without publishing to a remote npm registry, first install the dependencies by changing
into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:
npm install
Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:
npm link
Finally, switch to the directory you want to use your cloudmersive-nlp-api-client from, and run:
npm link /path/to/<JAVASCRIPT_CLIENT_DIR>
You should now be able to require('cloudmersive-nlp-api-client') in javascript files from the directory you ran the last
command above from.
If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:
npm install GIT_USER_ID/GIT_REPO_ID --save
The library also works in the browser environment via npm and browserify. After following
the above steps with Node.js and installing browserify with npm install -g browserify,
perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually
use this library):
browserify main.js > bundle.js
Then include bundle.js in the HTML pages.
Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:
module: {
rules: [
{
parser: {
amd: false
}
}
]
}
Please follow the installation instruction and execute the following JS code:
var CloudmersiveNlpApiClient = require('cloudmersive-nlp-api-client');
var defaultClient = CloudmersiveNlpApiClient.ApiClient.instance;
// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"
var api = new CloudmersiveNlpApiClient.AnalyticsApi()
var input = new CloudmersiveNlpApiClient.HateSpeechAnalysisRequest(); // {HateSpeechAnalysisRequest} Input hate speech analysis request
var callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
api.analyticsHateSpeech(input, callback);
All URIs are relative to https://api.cloudmersive.com
| Class | Method | HTTP request | Description |
|---|---|---|---|
| CloudmersiveNlpApiClient.AnalyticsApi | analyticsHateSpeech | POST /nlp-v2/analytics/hate-speech | Perform Hate Speech Analysis and Detection on Text |
| CloudmersiveNlpApiClient.AnalyticsApi | analyticsProfanity | POST /nlp-v2/analytics/profanity | Perform Profanity and Obscene Language Analysis and Detection on Text |
| CloudmersiveNlpApiClient.AnalyticsApi | analyticsSentiment | POST /nlp-v2/analytics/sentiment | Perform Sentiment Analysis and Classification on Text |
| CloudmersiveNlpApiClient.AnalyticsApi | analyticsSimilarity | POST /nlp-v2/analytics/similarity | Perform Semantic Similarity Comparison of Two Strings |
| CloudmersiveNlpApiClient.AnalyticsApi | analyticsSubjectivity | POST /nlp-v2/analytics/subjectivity | Perform Subjectivity and Objectivity Analysis on Text |
| CloudmersiveNlpApiClient.ExtractEntitiesApi | extractEntitiesPost | POST /nlp-v2/extract-entities | Extract entities from string |
| CloudmersiveNlpApiClient.LanguageDetectionApi | languageDetectionGetLanguage | POST /nlp-v2/language/detect | Detect language of text |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateDeuToEng | POST /nlp-v2/translate/language/deu/to/eng | Translate German to English text with Deep Learning AI |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToDeu | POST /nlp-v2/translate/language/eng/to/deu | Translate English to German text with Deep Learning AI |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToFra | POST /nlp-v2/translate/language/eng/to/fra | Translate English to French text with Deep Learning AI |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToRus | POST /nlp-v2/translate/language/eng/to/rus | Translate English to Russian text with Deep Learning AI |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateFraToEng | POST /nlp-v2/translate/language/fra/to/eng | Translate French to English text with Deep Learning AI |
| CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateRusToEng | POST /nlp-v2/translate/language/rus/to/eng | Translate Russian to English text with Deep Learning AI |
| CloudmersiveNlpApiClient.ParseApi | parseParseString | POST /nlp-v2/parse/tree | Parse string to syntax tree |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagAdjectives | POST /nlp-v2/pos/tag/adjectives | Part-of-speech tag a string, filter to adjectives |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagAdverbs | POST /nlp-v2/pos/tag/adverbs | Part-of-speech tag a string, filter to adverbs |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagNouns | POST /nlp-v2/pos/tag/nouns | Part-of-speech tag a string, filter to nouns |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagPronouns | POST /nlp-v2/pos/tag/pronouns | Part-of-speech tag a string, filter to pronouns |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagSentence | POST /nlp-v2/pos/tag/sentence | Part-of-speech tag a string |
| CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagVerbs | POST /nlp-v2/pos/tag/verbs | Part-of-speech tag a string, filter to verbs |
| CloudmersiveNlpApiClient.RephraseApi | rephraseEnglishRephraseSentenceBySentence | POST /nlp-v2/rephrase/rephrase/eng/by-sentence | Rephrase, paraphrase English text sentence-by-sentence using Deep Learning AI |
| CloudmersiveNlpApiClient.SegmentationApi | segmentationGetSentences | POST /nlp-v2/segmentation/sentences | Extract sentences from string |
| CloudmersiveNlpApiClient.SegmentationApi | segmentationGetWords | POST /nlp-v2/segmentation/words | Get words in input string |
| CloudmersiveNlpApiClient.SpellcheckApi | spellcheckCheckSentence | POST /nlp-v2/spellcheck/check/sentence | Check if sentence is spelled correctly |
| CloudmersiveNlpApiClient.SpellcheckApi | spellcheckCorrectJson | POST /nlp-v2/spellcheck/check/word | Find spelling corrections |
FAQs
The_powerful_Natural_Language_Processing_APIs__v2_let_you_perform_part_of_speech_tagging_entity_identification_sentence_parsing_and_much_more_to_help_you_understand_the_meaning_of_unstructured_text_
The npm package cloudmersive-nlp-api-client receives a total of 31 weekly downloads. As such, cloudmersive-nlp-api-client popularity was classified as not popular.
We found that cloudmersive-nlp-api-client demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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