role of nlp in modern context

1. ROLE OF NLP IN MODERN
CONTEXT

2. Presented by
 Immanuel Thomas Francis
(221210050)
 Ishan Bhagat (221210051)
 Jainendra Kumar Verma (221210052)
 Jangala Ram Sai Chaitanya
(221210053)
 Jugnu Gupta (221210054)
 Kapadia Dev Shailesh Kumar
(221210055)

3. MEET OUR TEAM
Presentation title 3
KARTIK
speaker
JUGNU
speaker
ISHAN
speaker
IMMANUEL
speaker

4. MEET OUR TEAM
4
JAINENDRA VERMA
speaker
RAM
speaker
DEV
speaker

5. Introduction to NLP
Natural language processing is a
field of artificial intelligence that
focuses on enabling computers to
understand, interpret, and
generate human languages.
History: NLP has come a long
way since its inception in the
1950s, with significant
advancements in the past decade
thanks to the use of deep learning

7. Applications of NLP
 Chatbots and virtual assistants: NLP allows for natural and
seamless communication with virtual assistants like Apple's
Siri or Amazon's Alexa.
 Sentiment analysis: NLP enables businesses to analyze
customer sentiment from social media posts, reviews, and
other sources, in order to understand and improve the
customer experience.
 Language translation: Services like Google Translate rely on
NLP to accurately translate text and speech between
languages.
 Information extraction: NLP can extract structured data from
unstructured sources, such as extracting information from a
resume or a medical record.

8. NLP in Action
Examples of NLP in use include chatbots responding
to customer inquiries, language translation apps,
and social media monitoring tools that analyze
customer sentiment.
Smart assistants like Apple’s Siri and Amazon’s
Alexa recognize patterns in speech thanks to voice
recognition, then infer meaning and provide a useful
response.

9. How does Siri work?
1. When your order Siri to perform an action, it records
the frequencies and soundwaves from your voice and
converts them into a code.
2. Siri then breaks down the code in context to identify
patterns and keywords.
3. This data gets input into an algorithm and is then
matched against thousands of combination of
sentences to identify what your phrase means.
4. The algorithm then determines the context of your
sentence through working around various literary
expressions.
5. When Siri understands your request, it begins to
assess the tasks that need to be performed

10. Challenges in NLP
Ambiguity and context dependence: Language is
full of ambiguity and can be heavily influenced by
context, making it difficult for computers to
accurately understand it.
Idioms, slang, and figurative language: These can
be particularly difficult for computers to
understand, as they often don't follow the literal
meanings of words.
Training data: In order for NLP models to be
effective, they require large amounts of labeled
data to learn from, which can be time-consuming

11. Advancements in NLP
Deep learning and neural networks: These have
greatly improved the accuracy and efficiency of
NLP models.
Pre-trained language models: Models like BERT
and GPT-3 have set new benchmarks for NLP
performance and have been widely adopted in a
variety of applications.

12. Ethical Considerations in
NLP
Bias: NLP models can reflect the biases present
in their training data, leading to unfair and
biased outcomes. It is important to be aware of
this and take steps to mitigate bias in NLP
models.
Transparency: It is important for NLP systems to
be transparent in their operation and decision-
making processes, in order to build trust with
users and ensure responsible use.

13. Future of NLP
Continued development
of pre-trained language
models and other state-
of-the-art NLP
techniques. Increasing
use of NLP in
personalization and
recommendation
systems. Potential for
NLP to be used in
areas like healthcare

14. Video by sparkcognition

15. Conclusion
NLP has come a long way and has a wide range of
applications in the modern world. It is important
to consider the ethical implications of NLP and
strive for responsible and transparent use. The
future of NLP looks promising, with exciting
developments on the horizon.