Tailor-made identification of documents with a need-based and solution-oriented approach

Dataset
Country Climate Strategies
Other
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Kigali
x=
21
14
7
6
1
6
1
0
6
0
1
y=
21
14
7
6
1
6
1
0
6
0
1
rgn-best-Kigali
highest-rated-strategy-document-from-each-city-region
Brasília
x=
29
14
15
6
1
6
1
3
3
3
6
y=
29
14
15
6
1
6
1
3
3
3
6
rgn-best-Bras?lia
highest-rated-strategy-document-from-each-city-region
Boston
x=
29
13
16
6
1
6
0
6
6
1
3
y=
29
13
16
6
1
6
0
6
6
1
3
rgn-best-Boston
highest-rated-strategy-document-from-each-city-region
Brandenburg
x=
23
13
10
6
1
6
0
6
1
0
3
y=
23
13
10
6
1
6
0
6
1
0
3
rgn-best-Brandenburg
highest-rated-strategy-document-from-each-city-region
Barcelona
x=
20
10
10
0
3
6
1
3
3
3
1
y=
20
10
10
0
3
6
1
3
3
3
1
rgn-best-Barcelona
highest-rated-strategy-document-from-each-city-region
Logan
x=
10
7
3
0
1
6
0
3
0
0
0
y=
10
7
3
0
1
6
0
3
0
0
0
rgn-best-Logan
highest-rated-strategy-document-from-each-city-region
Monterrey
x=
15
3
12
0
0
3
0
0
0
6
6
y=
15
3
12
0
0
3
0
0
0
6
6
region-Monterrey
all-city-region-climate-strategies-average
Monterrey
x=
15
3
12
0
0
3
0
0
0
6
6
y=
15
3
12
0
0
3
0
0
0
6
6
regmax-144
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Cities in Latin America and Caribbean
x=
32
8
24
1
1
3
3
6
6
6
6
y=
32
8
24
1
1
3
3
6
6
6
6
regmax-143
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
African Cities
x=
14
4
10
1
1
1
1
6
3
0
1
y=
14
4
10
1
1
1
1
6
3
0
1
region-African-Cities
all-city-region-climate-strategies-average
African Cities
x=
14
4
10
1
1
1
1
6
3
0
1
y=
14
4
10
1
1
1
1
6
3
0
1
regmax-142
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Rome
x=
14
6
8
0
3
3
0
3
1
1
3
y=
14
6
8
0
3
3
0
3
1
1
3
region-Rome
all-city-region-climate-strategies-average
Rwanda
x=
16
6
10
1
1
3
1
3
1
3
3
y=
16
6
10
1
1
3
1
3
1
3
3
region-Rwanda
all-city-region-climate-strategies-average
Rwanda
x=
19
6
13
1
1
3
1
6
1
3
3
y=
19
6
13
1
1
3
1
6
1
3
3
regmax-141
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Rome
x=
28
7
21
1
3
3
0
6
6
3
6
y=
28
7
21
1
3
3
0
6
6
3
6
regmax-140
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Nuevo Leon
x=
16
4
12
0
0
3
1
3
0
6
3
y=
16
4
12
0
0
3
1
3
0
6
3
region-Nuevo-Leon
all-city-region-climate-strategies-average
Mexico City
x=
5
4
1
0
1
3
0
0
1
0
0
y=
5
4
1
0
1
3
0
0
1
0
0
region-Mexico-City
all-city-region-climate-strategies-average
Nuevo Leon
x=
16
4
12
0
0
3
1
3
0
6
3
y=
16
4
12
0
0
3
1
3
0
6
3
regmax-139
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Lima and Callao
x=
11
4
7
0
1
3
0
0
6
1
0
y=
11
4
7
0
1
3
0
0
6
1
0
region-Lima-and-Callao
all-city-region-climate-strategies-average
Mexico City
x=
5
4
1
0
1
3
0
0
1
0
0
y=
5
4
1
0
1
3
0
0
1
0
0
regmax-137
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Lima and Callao
x=
11
4
7
0
1
3
0
0
6
1
0
y=
11
4
7
0
1
3
0
0
6
1
0
regmax-136
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Kigali
x=
21
14
7
6
1
6
1
0
6
0
1
y=
21
14
7
6
1
6
1
0
6
0
1
region-Kigali
all-city-region-climate-strategies-average
Kigali
x=
21
14
7
6
1
6
1
0
6
0
1
y=
21
14
7
6
1
6
1
0
6
0
1
regmax-135
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Brandenburg
x=
23
13
10
6
1
6
0
6
1
0
3
y=
23
13
10
6
1
6
0
6
1
0
3
regmax-133
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Curitiba
x=
10
8
2
3
1
3
1
1
0
0
1
y=
10
8
2
3
1
3
1
1
0
0
1
region-Curitiba
all-city-region-climate-strategies-average
Boston
x=
29
13
16
6
1
6
0
6
6
1
3
y=
29
13
16
6
1
6
0
6
6
1
3
regmax-132
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Curitiba
x=
26
16
10
6
1
6
3
3
1
0
6
y=
26
16
10
6
1
6
3
3
1
0
6
regmax-134
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Brandenburg
x=
23
13
10
6
1
6
0
6
1
0
3
y=
23
13
10
6
1
6
0
6
1
0
3
region-Brandenburg
all-city-region-climate-strategies-average
Logan
x=
10
7
3
0
1
6
0
3
0
0
0
y=
10
7
3
0
1
6
0
3
0
0
0
region-Logan
all-city-region-climate-strategies-average
Boston
x=
29
13
16
6
1
6
0
6
6
1
3
y=
29
13
16
6
1
6
0
6
6
1
3
region-Boston
all-city-region-climate-strategies-average
Barcelona
x=
20
10
10
0
3
6
1
3
3
3
1
y=
20
10
10
0
3
6
1
3
3
3
1
region-Barcelona
all-city-region-climate-strategies-average
Barcelona
x=
20
10
10
0
3
6
1
3
3
3
1
y=
20
10
10
0
3
6
1
3
3
3
1
regmax-131
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Brasília
x=
29
14
15
6
1
6
1
3
3
3
6
y=
29
14
15
6
1
6
1
3
3
3
6
region-Bras?lia
all-city-region-climate-strategies-average
Logan
x=
10
7
3
0
1
6
0
3
0
0
0
y=
10
7
3
0
1
6
0
3
0
0
0
regmax-128
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Brasília
x=
32
14
18
6
1
6
1
6
3
3
6
y=
32
14
18
6
1
6
1
6
3
3
6
regmax-130
aggregated-rating-based-on-best-ratings-for-each-category-in-the-strategy-documents-from-each-city-region
Republic of Rwanda, Ministry of Finance and Economic Planning
x=
13
5
8
0
1
3
1
6
1
0
1
y=
13
5
8
0
1
3
1
6
1
0
1
825
smart-strategy
n/a
None selected
Y
X
None selected
n/a
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