nlp-sentiment - npm Package Compare versions

Comparing version 1.0.0 to 1.0.1

lib/index.d.ts

@@ -9,9 +9,5 @@ import { Sentence, SentenceResult } from "./types";
     withPositiveWords(words: string[]): NlpSentiment;
-    withPositiveAsFile(filePath: string): NlpSentiment;
     withNegativeWords(words: string[]): NlpSentiment;
-    withNegativeAsFile(filePath: string): NlpSentiment;
     withIntensifierWords(words: string[]): NlpSentiment;
-    withIntensifierAsFile(filePath: string): NlpSentiment;
     withNegationWords(words: string[]): NlpSentiment;
-    withNegationAsFile(filePath: string): NlpSentiment;
     analyse(sentences: Sentence[]): SentenceResult[];
@@ -18,0 +14,0 @@ }

lib/index.js

@@ -16,6 +16,2 @@ "use strict";
     };
-    NlpSentiment.prototype.withPositiveAsFile = function (filePath) {
-        this._positiveVocabulary = (0, vocabulary_1.formVocabularyFromFile)(filePath, 1);
-        return this;
-    };
     NlpSentiment.prototype.withNegativeWords = function (words) {
@@ -25,6 +21,2 @@ this._negativeVocabulary = (0, vocabulary_1.formVocabularyFromWords)(words, -1);
     };
-    NlpSentiment.prototype.withNegativeAsFile = function (filePath) {
-        this._negativeVocabulary = (0, vocabulary_1.formVocabularyFromFile)(filePath, -1);
-        return this;
-    };
     NlpSentiment.prototype.withIntensifierWords = function (words) {
@@ -34,6 +26,2 @@ this._intensifierVocabulary = (0, vocabulary_1.formVocabularyFromWords)(words, 1.5);
     };
-    NlpSentiment.prototype.withIntensifierAsFile = function (filePath) {
-        this._intensifierVocabulary = (0, vocabulary_1.formVocabularyFromFile)(filePath, 1.5);
-        return this;
-    };
     NlpSentiment.prototype.withNegationWords = function (words) {
@@ -43,6 +31,2 @@ this._negationVocabulary = (0, vocabulary_1.formVocabularyFromWords)(words, -1);
     };
-    NlpSentiment.prototype.withNegationAsFile = function (filePath) {
-        this._negationVocabulary = (0, vocabulary_1.formVocabularyFromFile)(filePath, -1);
-        return this;
-    };
     NlpSentiment.prototype.analyse = function (sentences) {
@@ -49,0 +33,0 @@ var _this = this;

lib/vocabulary.d.ts

 import { Vocabulary } from "./types";
-export declare const formVocabularyFromFile: (pathToFile: string, value: number) => Vocabulary;
 export declare const formVocabularyFromWords: (words: string[], value: number) => Vocabulary;

lib/vocabulary.js

@@ -14,23 +14,3 @@ "use strict";
 exports.__esModule = true;
-exports.formVocabularyFromWords = exports.formVocabularyFromFile = void 0;
-var fs = require("fs");
-var formVocabularyFromFile = function (pathToFile, value) {
-    if (!pathToFile || !value) {
-        return {};
-    }
-    if (!fs.existsSync("foo.txt")) {
-        console.error("File \"".concat(pathToFile, "\" does not exist"));
-        return {};
-    }
-    var text = fs.readFileSync(pathToFile);
-    var textByLine = text.toString().split("\n");
-    return textByLine.reduce(function (obj, word) {
-        var _a;
-        if (word.length > 0) {
-            return __assign(__assign({}, obj), (_a = {}, _a[word] = value, _a));
-        }
-        return obj;
-    }, {});
-};
-exports.formVocabularyFromFile = formVocabularyFromFile;
+exports.formVocabularyFromWords = void 0;
 var formVocabularyFromWords = function (words, value) {
@@ -37,0 +17,0 @@ if (!words || !value) {

package.json

 {
   "name": "nlp-sentiment",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "A very tiny, fast and useful tool for sentiment analysis. It works with any language and can also use provided intensifier words!",
@@ -42,2 +42,2 @@ "main": "lib/index.js",
   }
-}
+}

README.md

@@ -6,3 +6,8 @@ # 😛 Sentiment — javascript NLP tool for fast and simple sentiment analysis
 [![codecov](https://codecov.io/gh/MarkusBansky/sentiment/branch/main/graph/badge.svg?token=M1BGVWCQX8)](https://codecov.io/gh/MarkusBansky/sentiment)
+[![Known Vulnerabilities](https://snyk.io/test/github/MarkusBansky/sentiment/badge.svg)](https://snyk.io/test/github/MarkusBansky/sentiment)
+[![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=MarkusBansky_sentiment&metric=security_rating)](https://sonarcloud.io/summary/new_code?id=MarkusBansky_sentiment)
+[![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=MarkusBansky_sentiment&metric=vulnerabilities)](https://sonarcloud.io/summary/new_code?id=MarkusBansky_sentiment)
 
+[![SonarCloud](https://sonarcloud.io/images/project_badges/sonarcloud-black.svg)](https://sonarcloud.io/summary/new_code?id=MarkusBansky_sentiment)
+
 This is a small and fast library for nlp sentiment analysis which supports any language, or any custom vocabulary.
@@ -9,0 +14,0 @@ It can also use intensifiers with positive or negative words adding more contrast.

Fixed alerts

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Improved metrics

Number of lines in readme file

102

increased by5.15%

Number of low supply chain risk alerts

0

decreased by-100%

Worsened metrics

Total package byte prevSize

49807

decreased by-4.32%

Lines of code

174

decreased by-19.07%

No dependency changes