민트 초코 논란! 자연어 처리(NLP)로 종결해드림

트위터 감정분석을 구글 자연어 처리 (NLP) API 로 해보았다.
민트초코는 과연 치약맛 인가.
하와이안 피자는 과연 피자에 대한 무례함인가.
그 결과는!?

#python #machine-learning #data-science #developer

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8 Open-Source Tools To Start Your NLP Journey

Teaching machines to understand human context can be a daunting task. With the current evolving landscape, Natural Language Processing (NLP) has turned out to be an extraordinary breakthrough with its advancements in semantic and linguistic knowledge. NLP is vastly leveraged by businesses to build customised chatbots and voice assistants using its optical character and speed recognition techniques along with text simplification.

To address the current requirements of NLP, there are many open-source NLP tools, which are free and flexible enough for developers to customise it according to their needs. Not only these tools will help businesses analyse the required information from the unstructured text but also help in dealing with text analysis problems like classification, word ambiguity, sentiment analysis etc.

Here are eight NLP toolkits, in no particular order, that can help any enthusiast start their journey with Natural language Processing.

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Also Read: Deep Learning-Based Text Analysis Tools NLP Enthusiasts Can Use To Parse Text

1| Natural Language Toolkit (NLTK)

About: Natural Language Toolkit aka NLTK is an open-source platform primarily used for Python programming which analyses human language. The platform has been trained on more than 50 corpora and lexical resources, including multilingual WordNet. Along with that, NLTK also includes many text processing libraries which can be used for text classification tokenisation, parsing, and semantic reasoning, to name a few. The platform is vastly used by students, linguists, educators as well as researchers to analyse text and make meaning out of it.

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#developers corner #learning nlp #natural language processing #natural language processing tools #nlp #nlp career #nlp tools #open source nlp tools #opensource nlp tools

민트 초코 논란! 자연어 처리(NLP)로 종결해드림

트위터 감정분석을 구글 자연어 처리 (NLP) API 로 해보았다.
민트초코는 과연 치약맛 인가.
하와이안 피자는 과연 피자에 대한 무례함인가.
그 결과는!?

#python #machine-learning #data-science #developer

Why NLP Suffers From The Issue Of Underrepresented Languages

Natural language processing (NLP) has made several remarkable breakthroughs in recent years by providing implementations for a range of applications including optical character recognition, speech recognition, text simplification, question-answering, machine translation, dialogue systems and much more.

With the help of NLP, systems learn to identify spam emails, suggest medical articles or diagnosis related to a patient’s symptoms, etc. NLP has also been utilised as a critical ingredient in case of crucial decision-making systems such as criminal justice, credit, allocation of public resources, sorting a list of job candidates, to name a few.

However, despite all these critical use cases, NLP is still lagging and faces the problem of underrepresentation. For instance, one of the significant limitations of NLP is the ambiguity of words in languages. The ambiguity and imprecise characteristics of the natural languages make NLP difficult for machines to implement.

#developers corner #issues in nlp #natural language processing #nlp ai #nlp papers #nlp research

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Python Toolkit For Multilingual NLP Applications

Natural Language Processing is a process of making the human language understandable to machines and then performing different operations on it to extract useful information. NLP is a part of Artificial Intelligence which makes the interaction between computer and human language.

There is a large variety of python libraries that can help us in performing NLP tasks. All libraries have certain unique features and which make them different from each other. Generally, NLP libraries have functions like Tokenize, Stemming, Lamenting, Spell CHeck, etc.

Polyglot is an open-source python library which is used to perform different NLP operations. It is based on NumPy which is why it is fast. It has a large variety of dedicated commands which makes it stand out of the crowd. It is similar to spacy and can be used for languages that do not support spacy.

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In this article, we will explore different NLP operations and functions which can be performed using polyglot.

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#developers corner #nlp #nlp application #nlp libraries #polyglot #python