Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Patent Sentiment Analysis to Highlight Patent Paragraphs   Given a patent document, identifying distinct semantic annotations is an
interesting research aspect. Text annotation helps the patent practitioners
such as examiners and patent attorneys to quickly identify the key arguments of
any invention, successively providing a timely marking of a patent text. In the
process of manual patent analysis, to attain better readability, recognising
the semantic information by marking paragraphs is in practice. This semantic
annotation process is laborious and time-consuming. To alleviate such a
problem, we proposed a novel dataset to train Machine Learning algorithms to
automate the highlighting process. The contributions of this work are: i) we
developed a multi-class, novel dataset of size 150k samples by traversing USPTO
patents over a decade, ii) articulated statistics and distributions of data
using imperative exploratory data analysis, iii) baseline Machine Learning
models are developed to utilize the dataset to address patent paragraph
highlighting task, iv) dataset and codes relating to this task are open-sourced
through a dedicated GIT web page:
https://github.com/Renuk9390/Patent_Sentiment_Analysis and v) future path to
extend this work using Deep Learning and domain specific pre-trained language
models to develop a tool to highlight is provided. This work assist patent
practitioners in highlighting semantic information automatically and aid to
create a sustainable and efficient patent analysis using the aptitude of
Machine Learning.

9
The categories of this paper are: nlin
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex