Natalia Martinez Ojeda
Polytechnic University of Puerto Rico
Michael Whittaker (mentor)
Lawrence Berkeley National Lab
Berkeley Lab Undergraduate Research (BLUR) Internship Program
EERE Energy Storage Program
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Mining Data for Ore Natural Language Processing to Identify Lithium Minerals in Scientific Literature
1. Mining Data for Ore: Natural
Language Processing to
Identify Lithium Minerals in
Scientific Literature
Natalia Martinez Ojeda
Polytechnic University of Puerto Rico
Michael Whittaker (mentor)
Lawrence Berkeley National Lab
Berkeley Lab Undergraduate Research (BLUR) Internship Program
EERE Energy Storage Program
3. Introduction
Lithium is important, because it is a part of battery
technology. We don’t have enough and we need better
ways to extract it.
4. Introduction
Finding sources of lithium can be
a challenge. Lithium is difficult to
detect.
We don’t know much about it,
which can make it costly to
extract.
8. Goal of the project
Natural Language
Processing
hectorite
9. Materials
• Experiments ran using Python
• Anaconda Individual Edition
• Word2vec
• Lists from:
• International Mineralogical Society
• The Clay Minerals Society
• Elsevier Science Direct API
• Google Drive API
10. Methods
• Hectorite 100 Most Similar Words
• Filtering Method: Manual vs List Filtering
• Hectorite vs Synthetic Hectorite
• Hectorite – lithium experiment
mat2vec
• Gathering a text corpus clay mineral literature
• Preprocessing
• Text representation
• Training the model
• Doing the queries
hec2vec
20. Hectorite – lithium… What do you Get?
Comparison Between the Most Similar Words to Hectorite-lithium Vector and Hectorite
word hectorite-lithium hectorite
montmorillonite 0.721055269 0.764317989
sepiolite 0.700928926 0.853842497
bentonite 0.69544071 0.685807884
saponite 0.648790061 0.862108946
montmorillonites 0.645610392 0.908462226
kaolin 0.642410934 0.684036136
zeolite 0.628637791 0.800811887
vermiculite 0.619120359 0.754984796
halloysite 0.617966712 0.846212149
attapulgite 0.612860382 0.825950325
beidellite 0.60122323 0.866034865
goethite 0.599569619 0.681477785
palygorskite 0.597968638 0.80305177
talc 0.580389857 0.819097161
kaolinite 0.57166183 0.49003166
rectorite 0.563381553 0.78731674
cloisite 0.546381652 0.679059327
laponite 0.537446022 0.886646152
SWy-1 0.530636072 0.774285376
SWy-2 0.527460277 0.851882219
nontronite 0.526098669 0.817075312
21. Conclusions
•There is a relation between hectorite and other clay minerals
such as montmorillonite, sepiolite, vermiculite. This is consistent
with Güven (1988) Grew et al. (2019), and Hazen et al. (2015).
•There is a relation between natural hectorite and synthetic
hectorite. In the 100 most similar words:
•Laponite association with hectorite found on both mat2vec and
hec2vec.
•Flourhectorite found on mat2vec.
•This is consistent with Güven (1988).
•Lithium is a key element in hectorite, since eliminating lithium
from hectorite decreases the similarity with the other clay
minerals.