# Available Extension

## Detectors

**Emphasis**

Detects the emphasis (if any on each token). Based on a dictionary of emphasis tokens and the dependency parser.

* [Installation and Usage](https://github.com/FinNLP/fin-emphasis)

**Negation**

Detects if the a token is negated, such as adjectives, adverbs, verbs ... etc. It's based on a dictionary and the dependency parser.

* [Installation and Usage](https://github.com/FinNLP/fin-negation)

**Sentiment**

Detects token negative and positive sentiments. For example `That was a good show`, the token `show` have a positive sentiment. Each token is given numerical value representing it's sentiment, when the number is negative the sentiment is negative such as `that was a bad show`, when the number is positive the sentiment is positive, and when it's `0` then the sentence doesn't have a sentiment description of the token.

* [Installation and Usage](https://github.com/FinNLP/fin-sentiment)

**Sentence Type**

Each sentence might be declarative, exclamatory, interrogative or imperative, This detector tries to analyze the sentence and gives the sentence type based on the tokens, tags and dependency tree.

* [Installation and Usage](https://github.com/FinNLP/fin-sentence-type)

**URLs and Emails**

When a sentence has emails, URLs or IP addresses it might mess up the lexer thus both of the POS tagger and dependency parser will give inaccurate results. This detector will add a pre and post processors that makes the lexer treats them as one word.

In addition to that, it can be also used detect URLs, emails and IP addresses.

* [Installation and Usage](https://github.com/FinNLP/fin-urls)

**UK-US Spelling variations**

This detector will analyze the given sentence and gives whether it has a UK or US specific spelling variation.

It will also gives a UK/US specific variation when it's applicable.

* [Installation and Usage](https://github.com/FinNLP/fin-ukus)

**Sentence Tense**

Detecting the exact tense of a given sentence.

* [Installation and Usage](https://github.com/FinNLP/fin-tense)

**Typos and spellchecking**

*coming soon*

**Date and time**

*coming soon*

**Numbers and units**

*coming soon*

## Post/PreProcessors

**Slang**

The provided POS tagger doesn't play nicely with internet slang. This pre processor will normalize those slangs into a bit more formal tokens. For example `w/o` will be converted to `without` and `gr8` will be converted to `great`.

* [Installation and Usage](https://github.com/FinNLP/fin-slang)

**HTML entities**

When you're accepting data from the internet this data might be escaped. For example the greater than sign `>` might be presented as `>`. This will cause inaccuracies in the lexer and thus the POS tagger and the dependency parser. This preprocessor will treat all the HTML entities converting them into their normal form.

* [Installation and Usage](https://github.com/FinNLP/fin-html-entities)

## Additional Tools

Following tools aren't really extensions to the **Fin** natural language processor but they might be useful to you when authoring extensions.

**Inflectors**

This library can be used for english language inflections.

* Converting one form of a verb to other forms (present to past participle and such).
* Detecting whether a given noun is plural or singular.
* Converting from plural to singular and vice versa.
* Transforming adjectives to comparative and superlatives.

When looking for a library that provides the above solutions it's highly recommended to use this one, as it has been thoroughly tested and built to be very accurate.

* [Installation and Usage](https://github.com/finnlp/en-inflectors)

**Stemmer**

Stems a token to it's root form. It's basically a TypeScript implementation of the porter stemmer.

* [Installation and Usage](https://github.com/FinNLP/en-stemmer)

**Spelling Variations**

Give the spelling variations of a given token and whether it's a UK or US spelling variation.

* [Installation and Usage](https://github.com/FinNLP/strdistance)

**String distance**

An alternative to the Levenshtein Distance (LD) calculator

* [Installation and Usage](https://github.com/finnlp/strdistance)

**Spell checker**

Fast and accurate spellchecker for Node.js

* [Installation and Usage](https://github.com/alexcorvi/spelt)

**Normalizer**

Resolves english contractions (`I'm` to `I am`), replaces confusable characters (`”` to `"`) and normalizes all-caps sentences.

* [Installation and Usage](https://github.com/FinNLP/en-norm)

**Lemmatizer**

Removes inflections, prefixes and suffixes from the word.

* [Installation and Usage](https://github.com/FinNLP/lemmatizer)

**Synonyms**

*coming soon*<br>