5 Best Natural Language Processing Packages in R Language

If you are looking to use Natural Language Processing in R applications, these are some of the best NLP packages you must know.
NLP Packages in R Language

R is one of the most widely used languages preferred by data scientists, statisticians, and developers, which is used for statistical computing. According to one report, only Python ranks above R as the most preferred programming language amongst statisticians, developers, and data scientists.

NLP Packages in R Language

Just like Python, the R language is preferred by data scientists and developers for ease of use, security, and comprehensive packages. If you are looking to use R for Natural Language Processing applications, below are some of the best NLP packages you must know.

1| koRpus – Top Natural Language Processing in R Package

If you are looking to analyze text, koRpus is definitely one of the best R packages that include a wide-ranging collection of functions that helps in the auto-detection of language. koRpus also consists of the indices of lexical diversity and offers R GUI plugin and IDE RKWard, which provides graphical dialogs to its essential features.

2| lsa – Natural Language Processing in R

lsa of Latent Semantic Analysis is another excellent R package for NLP application that assists in performing Latent Semantic Analysis. The basic working principle of the package is that the text has a higher latent semantic structure (lsa) concealed within the words by using Synonyms or Polysemy.

3| OpenNLP – OpenSource Natural Language Processing in R

OpenNLP offers support for various NLP tasks, including sentence segmentation, chunking, tokenization, parts-of-speech tagging, conference resolution, parsing, and named entity extraction. It also offers the R interface for Apache OpenNLP.

4| Quanteda

Quanteda is a comprehensive, fast, and customizable R package for text analysis and management. It offers a detailed framework for quantitative text analysis and provides

  • support for corpus management,
  • exploring keywords in context,
  • generating and handling tokens,
  • creating and controlling sparse matrices, and
  • Others.

5| RWeka

RWeka is a comprehensive R package exclusively for data mining tasks. The package is written in Java and is a collection of multiple machine learning algorithms. RWeka contains various features for data visualization, pre-processing, classification, clustering, association rules, and more. RWeka also includes an interface code, “Weka jar,” which is located in another package called “RWekajars.”

Converse Smartly¬ģ- Speech to Text Software ‚Äď Making Conversations more Intelligible!

Converse Smartly¬ģ by Folio3 is one of the most robust and precise speech-to-text software that quickly converts audio to text. Converse Smartly¬ģ assists companies and individuals to increase productivity and efficiency of business processes. One advanced feature offered by Converse Smartly¬ģ includes speech analysis, which helps businesses record and converts speech from team meetings, conferences, interviews, and seminars.¬†

Converse Smartly¬ģ uses cutting-edge speech recognition technology to ensure the highest accuracy and preciseness technology can achieve today. The application comes with various built-in tools that enhance efficiency, comfort, and productivity for businesses to further improve its utility.

Converse Smartly¬ģ – The Technology!

Converse Smartly¬ģ is built by Folio3 as an in-house project. The application was developed to reinforce the capabilities and skillset of Folio3’s development team, which comprises leading experts from the fields of machine learning and natural language processing.¬†

The expert development team at Folio3 disrupts the artificial intelligence (AI) realm to develop such advanced speech-to-text software, paralleled by a few. Using the most advanced technology available in the AI industry, Converse Smartly¬ģ leverages the brilliance of Microsoft Azure, IBM Watson API, Amazon AWS, and Google Speech-to-Text API, along with NLP toolkit by Python, as well as Facebook’s Reactjs and JavaScript.

Some of the features offered by Converse Smartly¬ģ includes:

–¬† ¬† ¬† ¬† ¬†Speech Analysis

Converse Smartly¬ģ uses advanced NLP and machine learning algorithms to recognize, analyze, and understand people’s speech patterns. The application doesn’t only perform speech recognition; instead, it is also able to understand the speech context accurately, resulting in higher accuracy.

–¬† ¬† ¬† ¬† ¬†Text Analysis

Converse Smartly¬ģ offers text analysis using advanced techniques and approaches that enable the use of textual content as data, which subsequently can be mined for trend or pattern analysis.

–¬† ¬† ¬† ¬† ¬†Multiple Speaker Detection

One of the most advanced features of Converse Smartly¬ģ is Speaker diarization. This feature helps with speech-to-text conversion in audios with multiple speakers through the process of partitioning input audio into homogeneous segments; with respect to the speakers.

–¬† ¬† ¬† ¬† ¬†Live Audio Transcription

Live audio transcription enables users to convert speech to text in real-time. This is a high-utility feature that is widely used for subtitles for videos and audios.

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